Responsible for architecting, governing, and optimizing enterprise-wide SharePoint Online and Power Platform solutions. Creates strategies that yield innovation, ensures platform scalability and security, and serves as a senior escalation point for complex issues. Utilizes a deep technical expertise and business acumen to influence digital transformation initiatives and acts as a mentor to peers within the organization. At Butterball, we exist to help people pass love on. As the most recognized name in turkey, the brand represents more than 60 years of cherished memories, providing quality, great tasting products that make meals something to celebrate every day. We proudly believe that life at Butterball means having a team who supports you, having the opportunity to grow personally and professionally, and making an impact on the health of others daily. Key Responsibilities Guides the design, governance, and lifecycle management of SharePoint Online and Power Platform environments, ensuring alignment with enterprise architecture and business strategies. Architects scalable, secure, and maintainable Power Apps and Power Automate solutions that streamline business operations and deliver measurable value. Partners with senior business leaders to translate strategic goals into technical roadmaps and actionable solutions. Serves as the highest-level escalation point for SharePoint and Power Platform issues, guiding root cause analysis and resolution of complex incidents. Defines and enforces governance policies, security standards, and compliance frameworks across solutions. Monitors and enhances platform performance, availability, and user experience through proactive tuning and automation. Develops and maintains comprehensive documentation, including architectural diagrams, SOPs, and user enablement materials. Collaborates with the IT Security team to ensure solutions adhere to organizational security policies, data protection standards, and compliance requirements. Promotes the use of Microsoft Copilot and AI-driven tools to automate administrative tasks, enhance productivity, and support secure solution development. Minimum Qualifications (Educations & Experience) High school diploma, GED, or equivalent 5+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Knowledge, Skills, and Abilities Butterball Core Competencies Caring about people, valuing contributions, and empowering to succeed is the Butterball Way. We recognize the value that different perspectives and cultures bring to Butterball and seek to create an environment where everyone can thrive. Everyone has a seat at the table and is expected to embody our core competencies: Safety First: We put safety first. The health, safety, and well-being of our people, products, and turkeys is everyone's responsibility and everyone's jobs. Integrity: We trust each other to do the right thing. We act with integrity and gain the confidence and trust of others through honesty, respect, and authenticity. Stewardship: We take care of what matters. We are accountable to our commitments and take responsibility for the well-being of our teams, our quality, our customers, our business, our brand, and our communities. We are always answerable for our actions and those we lead. Enthusiastic Attitudes: We create a climate where everyone feels they belong and can be engaged, every day. Where our people are enthusiastic and motivated to do their best and work together to make great things happen. Continuous Improvement: We are committed to continuous improvement. We challenge ourselves and our company to constantly learn, develop, grow, improve, and innovate. Essential Knowledge, Skills, and Abilities Ample experience and advanced proficiency in PowerShell scripting and architecting enterprise-grade Power Apps and Power Automate for automation and platform management solutions Significant experience in the Microsoft 365 ecosystem, with a strong understanding of Microsoft 365 integration patterns, including Teams, OneDrive, and Azure AD Experience with enterprise change management and cross-functional communication Strong understanding of IT security best practices, including secure application design and data governance Familiarity with Microsoft Copilot and AI-assisted tools for solution acceleration and automation Expert-level knowledge of Power Platform development, including Dataverse and custom connectors Advanced proficiency SharePoint Online architecture, permissions, and governance Ability to spearhead platform modernization initiatives and facilitate adoption of new technologies Skilled in developing technical standards, best practices, and training programs Solid project management skills with the ability to effectively guide cross-functional projects and handle competing priorities in a fast-paced enterprise environment Strong communication skills with the ability to influence at all levels of the organization Ability to coach and mentor technical teams Preferred Knowledge, Skills, and Abilities Microsoft certifications in Power Platform, SharePoint, or Microsoft 365 Enterprise Administration Experience with Microsoft Purview, compliance center, and data loss prevention (DLP) policies Experience with lifecycle management for Power Platform Physical Demands While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and occasionally lift up to 15 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus. Working Conditions & Travel Requirements Work is performed fully on-site . Work is performed in a climate-controlled office environment. The noise level of the environment is usually moderate. Occasional travel may be required. Disclaimer We embrace equal opportunity employment. Butterball is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law. This position is deemed Safety Sensitive for purposes of Butterball's Drug/Alcohol Screening & Testing Policy. Details will be provided to individuals who receive a conditional job offer, or upon request. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of what is required of personnel so classified. Furthermore, they do not imply or establish a contract for employment and are subject to change at the discretion of the employer.
04/01/2026
Full time
Responsible for architecting, governing, and optimizing enterprise-wide SharePoint Online and Power Platform solutions. Creates strategies that yield innovation, ensures platform scalability and security, and serves as a senior escalation point for complex issues. Utilizes a deep technical expertise and business acumen to influence digital transformation initiatives and acts as a mentor to peers within the organization. At Butterball, we exist to help people pass love on. As the most recognized name in turkey, the brand represents more than 60 years of cherished memories, providing quality, great tasting products that make meals something to celebrate every day. We proudly believe that life at Butterball means having a team who supports you, having the opportunity to grow personally and professionally, and making an impact on the health of others daily. Key Responsibilities Guides the design, governance, and lifecycle management of SharePoint Online and Power Platform environments, ensuring alignment with enterprise architecture and business strategies. Architects scalable, secure, and maintainable Power Apps and Power Automate solutions that streamline business operations and deliver measurable value. Partners with senior business leaders to translate strategic goals into technical roadmaps and actionable solutions. Serves as the highest-level escalation point for SharePoint and Power Platform issues, guiding root cause analysis and resolution of complex incidents. Defines and enforces governance policies, security standards, and compliance frameworks across solutions. Monitors and enhances platform performance, availability, and user experience through proactive tuning and automation. Develops and maintains comprehensive documentation, including architectural diagrams, SOPs, and user enablement materials. Collaborates with the IT Security team to ensure solutions adhere to organizational security policies, data protection standards, and compliance requirements. Promotes the use of Microsoft Copilot and AI-driven tools to automate administrative tasks, enhance productivity, and support secure solution development. Minimum Qualifications (Educations & Experience) High school diploma, GED, or equivalent 5+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Knowledge, Skills, and Abilities Butterball Core Competencies Caring about people, valuing contributions, and empowering to succeed is the Butterball Way. We recognize the value that different perspectives and cultures bring to Butterball and seek to create an environment where everyone can thrive. Everyone has a seat at the table and is expected to embody our core competencies: Safety First: We put safety first. The health, safety, and well-being of our people, products, and turkeys is everyone's responsibility and everyone's jobs. Integrity: We trust each other to do the right thing. We act with integrity and gain the confidence and trust of others through honesty, respect, and authenticity. Stewardship: We take care of what matters. We are accountable to our commitments and take responsibility for the well-being of our teams, our quality, our customers, our business, our brand, and our communities. We are always answerable for our actions and those we lead. Enthusiastic Attitudes: We create a climate where everyone feels they belong and can be engaged, every day. Where our people are enthusiastic and motivated to do their best and work together to make great things happen. Continuous Improvement: We are committed to continuous improvement. We challenge ourselves and our company to constantly learn, develop, grow, improve, and innovate. Essential Knowledge, Skills, and Abilities Ample experience and advanced proficiency in PowerShell scripting and architecting enterprise-grade Power Apps and Power Automate for automation and platform management solutions Significant experience in the Microsoft 365 ecosystem, with a strong understanding of Microsoft 365 integration patterns, including Teams, OneDrive, and Azure AD Experience with enterprise change management and cross-functional communication Strong understanding of IT security best practices, including secure application design and data governance Familiarity with Microsoft Copilot and AI-assisted tools for solution acceleration and automation Expert-level knowledge of Power Platform development, including Dataverse and custom connectors Advanced proficiency SharePoint Online architecture, permissions, and governance Ability to spearhead platform modernization initiatives and facilitate adoption of new technologies Skilled in developing technical standards, best practices, and training programs Solid project management skills with the ability to effectively guide cross-functional projects and handle competing priorities in a fast-paced enterprise environment Strong communication skills with the ability to influence at all levels of the organization Ability to coach and mentor technical teams Preferred Knowledge, Skills, and Abilities Microsoft certifications in Power Platform, SharePoint, or Microsoft 365 Enterprise Administration Experience with Microsoft Purview, compliance center, and data loss prevention (DLP) policies Experience with lifecycle management for Power Platform Physical Demands While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and occasionally lift up to 15 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus. Working Conditions & Travel Requirements Work is performed fully on-site . Work is performed in a climate-controlled office environment. The noise level of the environment is usually moderate. Occasional travel may be required. Disclaimer We embrace equal opportunity employment. Butterball is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law. This position is deemed Safety Sensitive for purposes of Butterball's Drug/Alcohol Screening & Testing Policy. Details will be provided to individuals who receive a conditional job offer, or upon request. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of what is required of personnel so classified. Furthermore, they do not imply or establish a contract for employment and are subject to change at the discretion of the employer.
Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Software Intern US-CA-Irvine Job ID: 34090 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives. Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: We are seeking a software development intern to join a team of technical experts who are responsible for Canon USA original application development. In this position, you will engage in software development using different technologies applied to several use cases. In this role, the ideal candidate will help in the development of desktop, mobile, and cloud solutions. The ideal candidate will have some hands-on exposure to developing software applications for various enterprise and consumer uses . Assist in development of applications that seamlessly integrate with internal and 3 rd party API's that help users interact with image capture devices and unleash it in new ways. Integrate with web services for pulling together video and image data from disparate sources. Work closely with mentor engineer and investigate new approaches , automation opportunities using scripts and potential use of cloud options around imaging capabilities that currently exist. Apply an iterative and agile approach to the development effort. Look for new ways to bring about innovati ve solutions. Be willing to take on a variety of tasks. About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Pursuit of bachelor's or master's degree (or above) in Computer Science, Computer Engineering, Mathematics or a related field required. At least two years into major is strongly preferred. Experience in at least one of the following: Python, JavaScript, C#, or C++. Some basic experience in integrating with web-based API's (REST) and comfortable working with JSON. Some experience with cloud technologies and services (AWS, GCP or Azure) is a plus. Excellent interpersonal skills and written & verbal communication skills required. Possess a strong willingness to come up to speed on technologies the candidate may otherwise be unfamiliar with. We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PI8cc07662f7b8-8411
04/01/2026
Full time
Software Intern US-CA-Irvine Job ID: 34090 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives. Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: We are seeking a software development intern to join a team of technical experts who are responsible for Canon USA original application development. In this position, you will engage in software development using different technologies applied to several use cases. In this role, the ideal candidate will help in the development of desktop, mobile, and cloud solutions. The ideal candidate will have some hands-on exposure to developing software applications for various enterprise and consumer uses . Assist in development of applications that seamlessly integrate with internal and 3 rd party API's that help users interact with image capture devices and unleash it in new ways. Integrate with web services for pulling together video and image data from disparate sources. Work closely with mentor engineer and investigate new approaches , automation opportunities using scripts and potential use of cloud options around imaging capabilities that currently exist. Apply an iterative and agile approach to the development effort. Look for new ways to bring about innovati ve solutions. Be willing to take on a variety of tasks. About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Pursuit of bachelor's or master's degree (or above) in Computer Science, Computer Engineering, Mathematics or a related field required. At least two years into major is strongly preferred. Experience in at least one of the following: Python, JavaScript, C#, or C++. Some basic experience in integrating with web-based API's (REST) and comfortable working with JSON. Some experience with cloud technologies and services (AWS, GCP or Azure) is a plus. Excellent interpersonal skills and written & verbal communication skills required. Possess a strong willingness to come up to speed on technologies the candidate may otherwise be unfamiliar with. We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PI8cc07662f7b8-8411
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Date Posted: 2025-12-11 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/01/2026
Full time
Date Posted: 2025-12-11 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2025-12-11 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/01/2026
Full time
Date Posted: 2025-12-11 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2025-12-11 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/01/2026
Full time
Date Posted: 2025-12-11 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Date Posted: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/01/2026
Full time
Date Posted: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Center (TSC) team within the Hardware Engineering Directorate is a multi-discipline organization responsible for developing test solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system product verification, qualification, test data analysis, and production test solution development. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and sustainment. This position is focused on the development, integration, test, and maintenance of software as a part of on-site factory support of test systems to support product testing. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production test equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of test product development for RMD test products. They will be expected to act, either as a part of their team or independently, to uncover and resolve issues associated with the development and implementation of test systems. What You Will Do: Guiding multidisciplined teams in the development of test equipment Prioritize and handle multiple tasks in a production environment Contributing to cost and schedule management planning Communicating with senior management on project status Troubleshooting software and test equipment Develop requirements for software products Written and interpersonal communication skills with Program Management Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and ten (10) years of prior relevant experience OR an Advanced degree and 7 years of prior relevant experience. Minimum of ten (10) years developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Minimum of ten (10) years of professional engineering experience utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System, Microsoft Visual Studio, and Microsoft Azure DevOps Server Familiarity with laboratory test instrumentation, electronics, and software (Ex. NI VISA, NI Measurement and Automation Explorer, NI Switch Executive) The ability to obtain and maintain a U.S. Government issued (Secret) security clearance is required. U.S. citizenship is required, as only U.S. Citizens are eligible for a security clearance. Qualifications We Prefer: Working knowledge of computer architecture and computer hardware optimization techniques Extensive knowledge of the development of software drivers for the operation of computer hardware interfaces Extensive knowledge of common computer hardware interface and data protocols such as TCP/IP, UDP, RS-422 Professional experience with Unified Modeling Language (UML) to visualize software architecture and design (Ex. IBM Rhapsody, Cameo System Modeler, and Cameo Enterprise Architecture) Professional experience of software development lifecycles, such as Agile Experience with Software Configuration Management principles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Software Engineers - Developers (Associate, Experienced, and Senior) to join the Air Dominance team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The candidate will assist software systems development on cloud infrastructures following modern DevSecOps and Agile execution processes Support all phases of the software development lifecycle including requirements and interface definition, design, development, and integration of Cloud Native Software for Collaborative Mission Planning including: Aviate, Navigate and Communicate (ANC) Weapons, Sensor and Payload Planning Network and Communication Configuration Mission Debrief The selected candidate will be responsible for and has ownership of the Mission Planning Software Design, Code, and Test ensuring performance, interfaces, and functional and non-functional software requirements are met. Our team is currently hiring for a broad range of experience levels including: Associate, Experienced, and Senior Engineers. Position Responsibilities Develop software design, coding and unit/integration testing of features/user stories Collaborate with product managers, designers, and other stakeholders to understand project requirements and translate them into technical specifications Work in small to medium sized agile teams composed of diverse engineering skills to tackle complex problems on a variety of projects and features Develop scalable and resilient front and backend solutions using cloud technologies Assist in the design, development and maintenance of software pipelines and tools Participate in code reviews to ensure adherence to architectural principles and coding standards Support the Ground software verification/validation using the selected testing tools, laboratories, and simulators Basic Qualifications (Required Skill/Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) Experience utilizing commercial Cloud Providers such as AWS, Azure or Google Cloud Platform Experience with containerization technologies such as Docker and Kubernetes Proficiency in software development languages (e.g. Python, JavaScript, SQL, Web/HTML, REST, C and C#) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2 years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related relevant experience Have or have held an active U.S. Security Clearance in the past 24 months Proficiency in backend programming languages (e.g. Python, C++, Node.js, and C#) Experience in front-end programming languages (e.g. React, and Redux) Experience with DevSecOps practices such as continuous integration and development tools (e.g. Jenkins, GitLab Runners) Knowledge of microservices architecture and related frameworks Knowledge in web design and development of web applications Experience working in an Agile Environment (e.g. Jira, Confluence) Experience working with Mission Planning Frameworks (e.g. JMPS, JOMS, NOMS) Knowledge of Model Based Systems Engineering principles and tools (e.g. Ops analysis, subsystem/sensor models, Cameo, Rhapsody, etc.) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $99,450.00 - $134,550.00. Summary pay range for Experienced: $126,650.00 - $171,350.00. Summary pay range for Senior: $160,650.00 - $217,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 15, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/01/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Software Engineers - Developers (Associate, Experienced, and Senior) to join the Air Dominance team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The candidate will assist software systems development on cloud infrastructures following modern DevSecOps and Agile execution processes Support all phases of the software development lifecycle including requirements and interface definition, design, development, and integration of Cloud Native Software for Collaborative Mission Planning including: Aviate, Navigate and Communicate (ANC) Weapons, Sensor and Payload Planning Network and Communication Configuration Mission Debrief The selected candidate will be responsible for and has ownership of the Mission Planning Software Design, Code, and Test ensuring performance, interfaces, and functional and non-functional software requirements are met. Our team is currently hiring for a broad range of experience levels including: Associate, Experienced, and Senior Engineers. Position Responsibilities Develop software design, coding and unit/integration testing of features/user stories Collaborate with product managers, designers, and other stakeholders to understand project requirements and translate them into technical specifications Work in small to medium sized agile teams composed of diverse engineering skills to tackle complex problems on a variety of projects and features Develop scalable and resilient front and backend solutions using cloud technologies Assist in the design, development and maintenance of software pipelines and tools Participate in code reviews to ensure adherence to architectural principles and coding standards Support the Ground software verification/validation using the selected testing tools, laboratories, and simulators Basic Qualifications (Required Skill/Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) Experience utilizing commercial Cloud Providers such as AWS, Azure or Google Cloud Platform Experience with containerization technologies such as Docker and Kubernetes Proficiency in software development languages (e.g. Python, JavaScript, SQL, Web/HTML, REST, C and C#) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2 years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related relevant experience Have or have held an active U.S. Security Clearance in the past 24 months Proficiency in backend programming languages (e.g. Python, C++, Node.js, and C#) Experience in front-end programming languages (e.g. React, and Redux) Experience with DevSecOps practices such as continuous integration and development tools (e.g. Jenkins, GitLab Runners) Knowledge of microservices architecture and related frameworks Knowledge in web design and development of web applications Experience working in an Agile Environment (e.g. Jira, Confluence) Experience working with Mission Planning Frameworks (e.g. JMPS, JOMS, NOMS) Knowledge of Model Based Systems Engineering principles and tools (e.g. Ops analysis, subsystem/sensor models, Cameo, Rhapsody, etc.) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $99,450.00 - $134,550.00. Summary pay range for Experienced: $126,650.00 - $171,350.00. Summary pay range for Senior: $160,650.00 - $217,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 15, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking a Senior Software Engineer in Hazelwood, MO for the Department of Navy Tomahawk Land-Attack Missile program. The Tomahawk program continues to grow and expand as a relevant deterrent against adversaries across the globe and is employed by multiple military organizations. This program is expected to remain in active service for the foreseeable future. The successful candidate for the role of Associate Software Engineer will play a crucial role in the design, development, testing, and maintenance of non-embedded software throughout the end-to-end lifecycle that meets industry, customer, and safety standards for the Tomahawk program, while adhering to strict government regulations. You will have the opportunity to review, analyze, and translate customer requirements into initial design of software products. Your expertise will be instrumental in developing, maintaining, enhancing and optimizing software products and functionalities for systems integrations. Additionally, you will debug and resolve issues identified to ensure the reliability and efficiency of software products. Position Responsibilities: Handles user inquiries, troubleshoot technical issues and user feedback analysis Implement current and emerging technologies, tools, frameworks and changes in regulations relevant to software development Execute and document software research and development projects Basic Qualifications (Required Skills/Experience): Active U.S. Secret Clearance with the ability to obtain TS/SCI 10+ years of experience with VB.NET or C#.NET (including .NET Framework) 5+ years of SQL or other relational database 3+ years of Unit testing frameworks like xUnit, nUnit, or MSTest Preferred Qualifications (Desired Skills/Experience): Windows Environment (Windows 10/11, Windows Server) Knowledge of Windows Desktop Development Project Management Tools (Azure DevOps, Jira, etc.) Azure DevOps Pipelines or other CI/CD tools Microservices or RESTful APIs Agile experience Strong mathematical analysis skills or STEM degree C++ CompTIA Security+ certification or a degree in Computer Science Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $133,000 - $155,000 Applications for this position will be accepted until Jun. 27, 2026 Export Control Requirements: This is not an Export Control position. Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/01/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking a Senior Software Engineer in Hazelwood, MO for the Department of Navy Tomahawk Land-Attack Missile program. The Tomahawk program continues to grow and expand as a relevant deterrent against adversaries across the globe and is employed by multiple military organizations. This program is expected to remain in active service for the foreseeable future. The successful candidate for the role of Associate Software Engineer will play a crucial role in the design, development, testing, and maintenance of non-embedded software throughout the end-to-end lifecycle that meets industry, customer, and safety standards for the Tomahawk program, while adhering to strict government regulations. You will have the opportunity to review, analyze, and translate customer requirements into initial design of software products. Your expertise will be instrumental in developing, maintaining, enhancing and optimizing software products and functionalities for systems integrations. Additionally, you will debug and resolve issues identified to ensure the reliability and efficiency of software products. Position Responsibilities: Handles user inquiries, troubleshoot technical issues and user feedback analysis Implement current and emerging technologies, tools, frameworks and changes in regulations relevant to software development Execute and document software research and development projects Basic Qualifications (Required Skills/Experience): Active U.S. Secret Clearance with the ability to obtain TS/SCI 10+ years of experience with VB.NET or C#.NET (including .NET Framework) 5+ years of SQL or other relational database 3+ years of Unit testing frameworks like xUnit, nUnit, or MSTest Preferred Qualifications (Desired Skills/Experience): Windows Environment (Windows 10/11, Windows Server) Knowledge of Windows Desktop Development Project Management Tools (Azure DevOps, Jira, etc.) Azure DevOps Pipelines or other CI/CD tools Microservices or RESTful APIs Agile experience Strong mathematical analysis skills or STEM degree C++ CompTIA Security+ certification or a degree in Computer Science Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $133,000 - $155,000 Applications for this position will be accepted until Jun. 27, 2026 Export Control Requirements: This is not an Export Control position. Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Scrum Master Career Opportunity Our client, who is a global leader in SaaS and AI based CX platforms, is looking for a motivated and talented Senior Scrum Master that will be responsible for supporting multiple Agile teams in delivering high-quality products through effective Scrum practices, coaching, and continuous improvement. This role partners closely with Product Owners, Engineering Managers, and cross-functional stakeholders to remove impediments, optimize team performance, and mature Agile practices across the organization. The ideal candidate is an experienced servant-leader who excels at facilitation, communication, and driving measurable outcomes. Senior Scrum Master Role and Responsibilities Guide 2 to 3 Scrum teams in applying Agile and Scrum principles effectively. Coach team members on self-management, cross-functionality, and accountability. Foster an environment of continuous improvement, learning, and psychological safety. Mentor junior Scrum Masters and contribute to scaling Agile practices across the enterprise. Facilitate Sprint Planning, Daily Standups, Backlog Refinements, Sprint Reviews, and Retrospectives. Ensure ceremonies are productive, focused, and continuously improving. Work with Product Owners to build healthy, transparent, and well-prioritized backlogs. Track and ensure visibility into team metrics (velocity, throughput, cycle time, predictability). Remove impediments and escalate issues that impact delivery timelines. Monitor dependencies, risks, and cross-team coordination. Drive adoption of Agile best practices and experimentation with new frameworks (Scrum, Kanban, XP, SAFe, etc.) Identify process bottlenecks and implement improvements using data-driven insights. Facilitate cross-team collaboration and alignment for multi-team initiatives. Partner with leadership, engineering, and product stakeholders to support strategic planning and delivery. Provide clear, timely communication on progress, risks, and impacts. Promote transparency through dashboards, reporting, and information radiators. Senior Scrum Master Required Skills and Qualifications 5+ years of experience as a Scrum Master or Agile Coach. Proven success supporting multiple Scrum teams in a scaled environment. Strong understanding of Agile frameworks (Scrum, Kanban, SAFe, LeSS, etc.) Experience using Agile tools such as Jira, Azure DevOps, Rally, or VersionOne. Excellent facilitation, communication, and conflict-resolution skills. Demonstrated ability to remove impediments and unblock teams quickly. Ability to influence without authority. Strong problem-solving and adaptability. Excellent stakeholder engagement. Senior Scrum Master Preferred Skills and Qualifications Technical & development skills. Certified Scrum Master. Relevant certifications: CSM, A-CSM, CSP-SM, PSM II/III, SAFe SSM/SA/POPM. Experience in DevOps, CI/CD pipelines, or cloud-native engineering environments. Background in coaching leaders and influencing organizational Agile maturity. Experience with metrics dashboards and Agile analytics.
04/01/2026
Full time
Senior Scrum Master Career Opportunity Our client, who is a global leader in SaaS and AI based CX platforms, is looking for a motivated and talented Senior Scrum Master that will be responsible for supporting multiple Agile teams in delivering high-quality products through effective Scrum practices, coaching, and continuous improvement. This role partners closely with Product Owners, Engineering Managers, and cross-functional stakeholders to remove impediments, optimize team performance, and mature Agile practices across the organization. The ideal candidate is an experienced servant-leader who excels at facilitation, communication, and driving measurable outcomes. Senior Scrum Master Role and Responsibilities Guide 2 to 3 Scrum teams in applying Agile and Scrum principles effectively. Coach team members on self-management, cross-functionality, and accountability. Foster an environment of continuous improvement, learning, and psychological safety. Mentor junior Scrum Masters and contribute to scaling Agile practices across the enterprise. Facilitate Sprint Planning, Daily Standups, Backlog Refinements, Sprint Reviews, and Retrospectives. Ensure ceremonies are productive, focused, and continuously improving. Work with Product Owners to build healthy, transparent, and well-prioritized backlogs. Track and ensure visibility into team metrics (velocity, throughput, cycle time, predictability). Remove impediments and escalate issues that impact delivery timelines. Monitor dependencies, risks, and cross-team coordination. Drive adoption of Agile best practices and experimentation with new frameworks (Scrum, Kanban, XP, SAFe, etc.) Identify process bottlenecks and implement improvements using data-driven insights. Facilitate cross-team collaboration and alignment for multi-team initiatives. Partner with leadership, engineering, and product stakeholders to support strategic planning and delivery. Provide clear, timely communication on progress, risks, and impacts. Promote transparency through dashboards, reporting, and information radiators. Senior Scrum Master Required Skills and Qualifications 5+ years of experience as a Scrum Master or Agile Coach. Proven success supporting multiple Scrum teams in a scaled environment. Strong understanding of Agile frameworks (Scrum, Kanban, SAFe, LeSS, etc.) Experience using Agile tools such as Jira, Azure DevOps, Rally, or VersionOne. Excellent facilitation, communication, and conflict-resolution skills. Demonstrated ability to remove impediments and unblock teams quickly. Ability to influence without authority. Strong problem-solving and adaptability. Excellent stakeholder engagement. Senior Scrum Master Preferred Skills and Qualifications Technical & development skills. Certified Scrum Master. Relevant certifications: CSM, A-CSM, CSP-SM, PSM II/III, SAFe SSM/SA/POPM. Experience in DevOps, CI/CD pipelines, or cloud-native engineering environments. Background in coaching leaders and influencing organizational Agile maturity. Experience with metrics dashboards and Agile analytics.
Hybrid / Python microservices architecture in Linux environment This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $165,000 per year A bit about us: We provide radio-frequency and RFID-based technology that helps retailers and brands prevent theft, protect high-risk merchandise, and secure products in stores. We also offer item-level labels, tags, hardware, and software that improve inventory accuracy, merchandise visibility, and operational efficiency across the supply chain. Why join us? Premium benefits - full health, dental, vision, and life insurance for you and your family Employee discounts Generous PTO Tuition Reimbursement Flexible spending account Health Savings Account Growth and upward mobility Job Details You will be joining the engineering team to develop new features for their RFID system. You have strong experience working with python in a microservices architecture as well as scripting and deploying in a Linux environment. You will work cross-functionally with software engineers, firmware engineers, architects, QA, field service, manufacturing, product, and compliance teams. You bring strong communication skills, a desire to own technical tasks, and the ability to troubleshoot complex systems. Tech stack: linux, python, react, azure, CICD, RestAPIs, RFID, microservices, networking, cloud integration, bash scripting. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/01/2026
Full time
Hybrid / Python microservices architecture in Linux environment This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $165,000 per year A bit about us: We provide radio-frequency and RFID-based technology that helps retailers and brands prevent theft, protect high-risk merchandise, and secure products in stores. We also offer item-level labels, tags, hardware, and software that improve inventory accuracy, merchandise visibility, and operational efficiency across the supply chain. Why join us? Premium benefits - full health, dental, vision, and life insurance for you and your family Employee discounts Generous PTO Tuition Reimbursement Flexible spending account Health Savings Account Growth and upward mobility Job Details You will be joining the engineering team to develop new features for their RFID system. You have strong experience working with python in a microservices architecture as well as scripting and deploying in a Linux environment. You will work cross-functionally with software engineers, firmware engineers, architects, QA, field service, manufacturing, product, and compliance teams. You bring strong communication skills, a desire to own technical tasks, and the ability to troubleshoot complex systems. Tech stack: linux, python, react, azure, CICD, RestAPIs, RFID, microservices, networking, cloud integration, bash scripting. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Hybrid Oppty! Join our Data Platform & Analytics team as a Sr Data Product Analyst to deliver scalable cloud-native data solutions! This Jobot Consulting Job is hosted by: Liz Valdez Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $125,000 - $153,000 per year A bit about us: Join a mission-driven leader in pharmaceutical distribution with a strong compliance reputation, where you'll work on high-impact anti-diversion efforts that protect communities-all within a tight-knit, collaborative team and a stable, growth-focused environment. Why join us? Comprehensive Health benefits + EAP 401k, Profit Sharing Retirement Plan Tuition Reimbursement Program HSA, FSA, Dependent Care Flex Spending Acct Life, AD&D, & AFLAC Plans Paid Vacation/Holidays Paid Sick Leave Job Details Senior Business Analyst - Enterprise Data & Analytics (Databricks) About the Role We are seeking a Senior Business Analyst to play a leadership role within an enterprise data and analytics organization, driving large-scale initiatives across Databricks, SAP, and modern cloud data platforms. This is a highly technical and visible role blending business analysis, product ownership, Agile leadership, and stakeholder management, with a strong emphasis on enterprise delivery and governance. You will act as a trusted partner to Finance and business leadership, enabling data-driven and AI-supported decision-making while guiding teams through Agile execution in a regulated environment. Key Responsibilities Lead enterprise-level data and analytics initiatives leveraging Databricks, SAP, SQL, and ELT/ETL pipelines Partner closely with Finance and senior stakeholders to translate strategic goals into actionable, scalable data solutions Serve as Senior BA, Proxy Product Owner, and Agile/Scrum Lead, owning epics, user stories, backlog prioritization, and delivery cadence Facilitate Agile ceremonies and lead cross-functional meetings with developers, architects, and business stakeholders Guide and mentor a team (current and planned growth), setting standards for requirements quality and delivery excellence Collaborate with data engineers and architects on ingestion pipelines, curated layers, and analytics models Ensure compliance, governance, and data quality in alignment with pharmaceutical distribution and regulatory standards Oversee UAT, data validation, and release readiness to ensure solutions meet business and compliance requirements Required Qualifications 7+ years of experience as a Business Analyst supporting enterprise data, analytics, or platform initiatives Strong experience with Databricks in enterprise environments Working experience with SAP (finance, supply chain, or commercial data domains) Advanced SQL skills for data validation and analysis Experience with ELT/ETL pipelines and modern data integration Proven Agile delivery experience using Jira, Confluence, and/or Azure DevOps Demonstrated ability to lead meetings, influence stakeholders, and communicate effectively with technical and executive audiences Preferred Experience Experience in pharmaceutical distribution or other regulated industries Exposure to AI-enabled analytics or advanced data use cases Background in data governance, compliance, or audit-ready environments Agile or Product certifications (CSPO, Scrum Master, PMI-PBA) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/01/2026
Full time
Hybrid Oppty! Join our Data Platform & Analytics team as a Sr Data Product Analyst to deliver scalable cloud-native data solutions! This Jobot Consulting Job is hosted by: Liz Valdez Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $125,000 - $153,000 per year A bit about us: Join a mission-driven leader in pharmaceutical distribution with a strong compliance reputation, where you'll work on high-impact anti-diversion efforts that protect communities-all within a tight-knit, collaborative team and a stable, growth-focused environment. Why join us? Comprehensive Health benefits + EAP 401k, Profit Sharing Retirement Plan Tuition Reimbursement Program HSA, FSA, Dependent Care Flex Spending Acct Life, AD&D, & AFLAC Plans Paid Vacation/Holidays Paid Sick Leave Job Details Senior Business Analyst - Enterprise Data & Analytics (Databricks) About the Role We are seeking a Senior Business Analyst to play a leadership role within an enterprise data and analytics organization, driving large-scale initiatives across Databricks, SAP, and modern cloud data platforms. This is a highly technical and visible role blending business analysis, product ownership, Agile leadership, and stakeholder management, with a strong emphasis on enterprise delivery and governance. You will act as a trusted partner to Finance and business leadership, enabling data-driven and AI-supported decision-making while guiding teams through Agile execution in a regulated environment. Key Responsibilities Lead enterprise-level data and analytics initiatives leveraging Databricks, SAP, SQL, and ELT/ETL pipelines Partner closely with Finance and senior stakeholders to translate strategic goals into actionable, scalable data solutions Serve as Senior BA, Proxy Product Owner, and Agile/Scrum Lead, owning epics, user stories, backlog prioritization, and delivery cadence Facilitate Agile ceremonies and lead cross-functional meetings with developers, architects, and business stakeholders Guide and mentor a team (current and planned growth), setting standards for requirements quality and delivery excellence Collaborate with data engineers and architects on ingestion pipelines, curated layers, and analytics models Ensure compliance, governance, and data quality in alignment with pharmaceutical distribution and regulatory standards Oversee UAT, data validation, and release readiness to ensure solutions meet business and compliance requirements Required Qualifications 7+ years of experience as a Business Analyst supporting enterprise data, analytics, or platform initiatives Strong experience with Databricks in enterprise environments Working experience with SAP (finance, supply chain, or commercial data domains) Advanced SQL skills for data validation and analysis Experience with ELT/ETL pipelines and modern data integration Proven Agile delivery experience using Jira, Confluence, and/or Azure DevOps Demonstrated ability to lead meetings, influence stakeholders, and communicate effectively with technical and executive audiences Preferred Experience Experience in pharmaceutical distribution or other regulated industries Exposure to AI-enabled analytics or advanced data use cases Background in data governance, compliance, or audit-ready environments Agile or Product certifications (CSPO, Scrum Master, PMI-PBA) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Senior Data Engineer Needed - $225K-$300K - Supply Chain Software Pioneer This Jobot Job is hosted by: Steven Zacharias Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $225,000 - $300,000 per year A bit about us: We are a growing software development firm that's looking for a seasoned Data Engineer! If interested, please apply or email me your resume directly at - /> Why join us? $225,000-$300,000 Base Salary Health / Dental / Vision 401k w/ employer match PTO Job Details Scope of Responsibilities: Data ingestion pipelines for existing and new data sources (both batch and real-time streaming) Experience with all forms of multi-modal data types Monitoring frameworks to protect data quality and consistency Data modeling design and data architecture skills to support reporting and analytics requirements Experience in the latest generation of data lake architectures, stream and batch processing, and managed cloud services to support scale. Qualifications Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience. 5+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies Demonstrated experience developing data pipelines to support machine learning, LLMs or other analytical solutions Experience working with multi-cloud providers such as AWS and Azure Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/01/2026
Full time
Senior Data Engineer Needed - $225K-$300K - Supply Chain Software Pioneer This Jobot Job is hosted by: Steven Zacharias Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $225,000 - $300,000 per year A bit about us: We are a growing software development firm that's looking for a seasoned Data Engineer! If interested, please apply or email me your resume directly at - /> Why join us? $225,000-$300,000 Base Salary Health / Dental / Vision 401k w/ employer match PTO Job Details Scope of Responsibilities: Data ingestion pipelines for existing and new data sources (both batch and real-time streaming) Experience with all forms of multi-modal data types Monitoring frameworks to protect data quality and consistency Data modeling design and data architecture skills to support reporting and analytics requirements Experience in the latest generation of data lake architectures, stream and batch processing, and managed cloud services to support scale. Qualifications Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience. 5+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies Demonstrated experience developing data pipelines to support machine learning, LLMs or other analytical solutions Experience working with multi-cloud providers such as AWS and Azure Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
