Delta Defense
West Bend, Wisconsin
As a Marketing Technology Engineer at Delta Defense, you will design, build, and optimize the marketing technology stack that powers data-driven growth for the USCCA brand. Partnering closely with IT and Digital Solutions, you'll integrate platforms like CRMs, marketing automation, analytics, and tag management to deliver seamless, personalized customer experiences. You'll architect scalable data flows, implement tracking, and automate campaigns while ensuring reliability, security, and performance. This role is ideal for a hands-on technologist passionate about solving complex problems, enabling marketers, and supporting a purpose-driven mission. Responsibilities Design, implement, and maintain integrations between CRM, marketing automation, analytics, and data platforms. Build and optimize data pipelines and tracking frameworks to support segmentation, attribution, and reporting. Configure and manage marketing automation workflows, triggers, and personalization rules. Collaborate with marketing, IT, and digital teams to translate business needs into scalable technical solutions. Ensure reliability, performance, privacy, and security across the marketing technology stack. Troubleshoot platform and data issues, providing root-cause analysis and long-term fixes. Develop and maintain documentation, schemas, and technical standards for martech systems. Evaluate and recommend new marketing technologies that align with business and mission goals. Support A/B testing, experimentation, and analytics initiatives through proper instrumentation. Contribute to continuous improvement, code review, and best practices within IT & Digital Solutions. Required Skills Marketing automation platforms (e.g., Salesforce Marketing Cloud, Marketo, Hub Spot) Customer relationship management (CRM) systems Tag management and event tracking (e.g., Google Tag Manager) Web and product analytics (e.g., Google Analytics, GA4, Mixpanel) Data integration and ETL/ELT tools and workflows SQL for querying and manipulating marketing data API integrations and REST/JSON-based services Journey orchestration and campaign automation design Data modeling for customer profiles, events, and segmentation Version control and basic Dev Ops practices (e.g., Git, CI/CD)
As a Marketing Technology Engineer at Delta Defense, you will design, build, and optimize the marketing technology stack that powers data-driven growth for the USCCA brand. Partnering closely with IT and Digital Solutions, you'll integrate platforms like CRMs, marketing automation, analytics, and tag management to deliver seamless, personalized customer experiences. You'll architect scalable data flows, implement tracking, and automate campaigns while ensuring reliability, security, and performance. This role is ideal for a hands-on technologist passionate about solving complex problems, enabling marketers, and supporting a purpose-driven mission. Responsibilities Design, implement, and maintain integrations between CRM, marketing automation, analytics, and data platforms. Build and optimize data pipelines and tracking frameworks to support segmentation, attribution, and reporting. Configure and manage marketing automation workflows, triggers, and personalization rules. Collaborate with marketing, IT, and digital teams to translate business needs into scalable technical solutions. Ensure reliability, performance, privacy, and security across the marketing technology stack. Troubleshoot platform and data issues, providing root-cause analysis and long-term fixes. Develop and maintain documentation, schemas, and technical standards for martech systems. Evaluate and recommend new marketing technologies that align with business and mission goals. Support A/B testing, experimentation, and analytics initiatives through proper instrumentation. Contribute to continuous improvement, code review, and best practices within IT & Digital Solutions. Required Skills Marketing automation platforms (e.g., Salesforce Marketing Cloud, Marketo, Hub Spot) Customer relationship management (CRM) systems Tag management and event tracking (e.g., Google Tag Manager) Web and product analytics (e.g., Google Analytics, GA4, Mixpanel) Data integration and ETL/ELT tools and workflows SQL for querying and manipulating marketing data API integrations and REST/JSON-based services Journey orchestration and campaign automation design Data modeling for customer profiles, events, and segmentation Version control and basic Dev Ops practices (e.g., Git, CI/CD)
Financial Plus Credit Union
Flint, Michigan
Description: Job Title: Consumer Lending Manager Department: Consumer Lending Reports to: Vice President of Consumer Lending Hours per Week: 40 hrs./week Salary Exempt Company Summary Welcome to Financial Plus Credit Union (FPCU) - 'The Place where it's Possible.' At FPCU, we believe in the power of collaboration, embrace inclusivity as a strength, and are driven by a shared commitment to success. Our community-centered approach goes beyond financial services; it's about fostering connections and making a positive impact. Join us, and be part of an environment that prioritizes wellness, encourages continuous learning, and opens doors to developing you into the person you want to be. Explore the opportunities that await you at FPCU - where you aren't just making a living but joining a PLACE where you can REACH your goals. Position Summary The Consumer Lending Manager is responsible for overseeing both the Consumer Loan Officer team, the Consumer Lending Operation Specialists, and the Loan Support Clerk, ensuring strong operational performance, underwriting consistency, member experience, and overall operational effectiveness. This role combines day-to-day leadership of lending and loan support staff with strategic oversight responsibilities focused on evaluating lending performance, identifying trends and opportunities, recommending operational improvements, and supporting initiatives designed to achieve organizational production, service, and portfolio growth goals while maintaining sound lending practices, operational consistency, and appropriate risk management. The Consumer Lending Manager works closely with the VP of Consumer Lending, Consumer Lending Processing Manager, Consumer Lending Systems Analyst, and other departments to support operational efficiency, process improvements, strategic initiatives, and organizational growth. This role balances production leadership, member service, operational collaboration, risk management, and employee development while ensuring compliance with all regulatory requirements. Essential Functions & Primary Responsibilities Oversee the Loan Officers, Consumer Lending Operations Specialists, and Loan Support Clerk, ensuring strong member experience, service consistency, operational effectiveness, underwriting quality, credit risk management and overall lending operational effectiveness. Provide leadership, direction, coaching, and performance management to lending and loan support staff while fostering a culture of accountability, collaboration, continuous improvement, and professional development. Support organizational consumer lending growth objectives through strategic leadership, operational analysis, production monitoring, and data-driven recommendations. Analyze lending production trends, pull-through ratios, application sources, operational performance, and portfolio growth opportunities to identify areas requiring improvement or strategic focus. Provide recommendations to senior leadership regarding operational changes, workflow improvements, staffing needs, product enhancements, promotional opportunities, service strategies, and process efficiencies to support organizational lending goals. Monitor loan application conversion metrics, funded loan ratios, turnaround times, productivity, and member experience trends to identify opportunities for improvement. Coach and develop team on underwriting consistency, operational effectiveness, product knowledge, member experience expectations, and lending best practices. Partner with internal departments to support lending knowledge, workflow alignment, operational consistency, and member experience throughout the lending process. Identify development opportunities and assist in preparing team members for increased responsibilities and future leadership opportunities. Assist with escalated lending decisions, exception requests, member concerns, and complex lending situations while balancing member experience, organizational policy, and risk management. Ensure lending decisions, exception handling, and operational processes are consistently documented and aligned with organizational policies, procedures, and risk tolerance. Partner closely with the Consumer Loan Processing Manager to ensure seamless workflow coordination, efficient handoffs, funding timeliness, and operational consistency throughout the loan lifecycle. Collaborate with Retail Delivery, Digital, Processing, Indirect Lending, Marketing, and other departments to improve workflows, reduce member friction, and enhance the overall lending experience. Participate in cross-functional projects and process improvement initiatives supporting consumer lending efficiency, scalability, and member service. Partner with the Consumer Lending Systems Analyst to identify operational inefficiencies, support workflow enhancements, participate in user acceptance testing, and assist with implementation and adoption of lending technology initiatives. Provide operational input and feedback regarding loan origination systems, workflow tools, automation opportunities, and process improvements. Monitor and manage departmental performance metrics including funded loan volume, application conversion, approval ratios, turnaround times, productivity, service standards, member experience, and portfolio trends. Utilize production reporting and operational analytics to identify performance gaps, process inefficiencies, and opportunities for growth, operational improvement, and enhanced member experience. Utilize reporting and analytics to identify trends, improve operational performance, and support strategic decision-making. Analyze lending performance, portfolio trends, operational data, and member experience feedback to identify opportunities for growth and improvement. Support strategic lending initiatives, promotional campaigns, and market growth efforts in partnership with senior leadership and marketing. Maintain and improve member service by ensuring inquiries, applications, and member issues are handled professionally, consistently, and promptly. Conduct quality reviews and audits to ensure lending accuracy, operational consistency, compliance, and proper documentation. Stay up to date on industry trends, lending laws, operational best practices, and product innovations to recommend improvements and new opportunities. Assist in budgeting, forecasting, and strategic planning for the consumer lending division. Work collaboratively with third-party vendors, partners, and internal stakeholders to support lending operations and organizational initiatives. Oversee the processing and management of title work, loan payoffs, release of liens, and UCC filings. Promote a positive team environment, encouraging collaboration and high-quality service. Ensure employees have the tools, materials, and training necessary for success. Ensures compliance with all federal and state laws and regulations, including the Bank Secrecy Act, Patriot Act, and Office of Foreign Asset Controls, and should request legal interpretation as necessary. Must ensure subordinates are also compliant with such laws and regulations. Must be bondable. Perform other duties as assigned. Requirements: Education & Qualifications Bachelor's degree in Finance, Business Administration, or related field; or equivalent work experience. 3 to 5 years of previous consumer lending experience with a proven performance record, with leadership or management experience preferred. Strong understanding of consumer lending regulations, underwriting principles, operational workflows, and member service expectations. Experience leading teams in a fast-paced lending environment focused on balancing growth, service, operational efficiency, and risk management. Experience working with loan origination systems, workflow automation, reporting tools, and lending technology platforms preferred. Strong communication, coaching, organizational leadership, and relationship-building skills. Ability to analyze operational data and utilize reporting to drive performance improvements and strategic decision-making. Candidate must have a thorough understanding of the Loan Policy and Guidelines. Candidate must be knowledgeable of Credit Unions product and services and demonstrate the ability to cross-sell and build deeper relationships with our membership. This position requires an understanding of basic computer skills including Microsoft 365 suite applications. Skills and Abilities Strong leadership and management skills with the ability to motivate, coach, and develop high-performing teams. Strong analytical and organizational skills with the ability to evaluate operational performance and make data-driven decisions. Exceptional problem-solving skills with a solution-oriented mindset. Detail-oriented with a strong focus on operational consistency, compliance, and member experience. Ability to handle multiple priorities in a fast-paced environment while meeting deadlines. Strong interpersonal, verbal, and written communication skills. Ability to build collaborative relationships across departments and effectively navigate operational challenges. Presents a positive and professional image to members and team members through effective and courteous verbal and written communications. . click apply for full job details
Description: Job Title: Consumer Lending Manager Department: Consumer Lending Reports to: Vice President of Consumer Lending Hours per Week: 40 hrs./week Salary Exempt Company Summary Welcome to Financial Plus Credit Union (FPCU) - 'The Place where it's Possible.' At FPCU, we believe in the power of collaboration, embrace inclusivity as a strength, and are driven by a shared commitment to success. Our community-centered approach goes beyond financial services; it's about fostering connections and making a positive impact. Join us, and be part of an environment that prioritizes wellness, encourages continuous learning, and opens doors to developing you into the person you want to be. Explore the opportunities that await you at FPCU - where you aren't just making a living but joining a PLACE where you can REACH your goals. Position Summary The Consumer Lending Manager is responsible for overseeing both the Consumer Loan Officer team, the Consumer Lending Operation Specialists, and the Loan Support Clerk, ensuring strong operational performance, underwriting consistency, member experience, and overall operational effectiveness. This role combines day-to-day leadership of lending and loan support staff with strategic oversight responsibilities focused on evaluating lending performance, identifying trends and opportunities, recommending operational improvements, and supporting initiatives designed to achieve organizational production, service, and portfolio growth goals while maintaining sound lending practices, operational consistency, and appropriate risk management. The Consumer Lending Manager works closely with the VP of Consumer Lending, Consumer Lending Processing Manager, Consumer Lending Systems Analyst, and other departments to support operational efficiency, process improvements, strategic initiatives, and organizational growth. This role balances production leadership, member service, operational collaboration, risk management, and employee development while ensuring compliance with all regulatory requirements. Essential Functions & Primary Responsibilities Oversee the Loan Officers, Consumer Lending Operations Specialists, and Loan Support Clerk, ensuring strong member experience, service consistency, operational effectiveness, underwriting quality, credit risk management and overall lending operational effectiveness. Provide leadership, direction, coaching, and performance management to lending and loan support staff while fostering a culture of accountability, collaboration, continuous improvement, and professional development. Support organizational consumer lending growth objectives through strategic leadership, operational analysis, production monitoring, and data-driven recommendations. Analyze lending production trends, pull-through ratios, application sources, operational performance, and portfolio growth opportunities to identify areas requiring improvement or strategic focus. Provide recommendations to senior leadership regarding operational changes, workflow improvements, staffing needs, product enhancements, promotional opportunities, service strategies, and process efficiencies to support organizational lending goals. Monitor loan application conversion metrics, funded loan ratios, turnaround times, productivity, and member experience trends to identify opportunities for improvement. Coach and develop team on underwriting consistency, operational effectiveness, product knowledge, member experience expectations, and lending best practices. Partner with internal departments to support lending knowledge, workflow alignment, operational consistency, and member experience throughout the lending process. Identify development opportunities and assist in preparing team members for increased responsibilities and future leadership opportunities. Assist with escalated lending decisions, exception requests, member concerns, and complex lending situations while balancing member experience, organizational policy, and risk management. Ensure lending decisions, exception handling, and operational processes are consistently documented and aligned with organizational policies, procedures, and risk tolerance. Partner closely with the Consumer Loan Processing Manager to ensure seamless workflow coordination, efficient handoffs, funding timeliness, and operational consistency throughout the loan lifecycle. Collaborate with Retail Delivery, Digital, Processing, Indirect Lending, Marketing, and other departments to improve workflows, reduce member friction, and enhance the overall lending experience. Participate in cross-functional projects and process improvement initiatives supporting consumer lending efficiency, scalability, and member service. Partner with the Consumer Lending Systems Analyst to identify operational inefficiencies, support workflow enhancements, participate in user acceptance testing, and assist with implementation and adoption of lending technology initiatives. Provide operational input and feedback regarding loan origination systems, workflow tools, automation opportunities, and process improvements. Monitor and manage departmental performance metrics including funded loan volume, application conversion, approval ratios, turnaround times, productivity, service standards, member experience, and portfolio trends. Utilize production reporting and operational analytics to identify performance gaps, process inefficiencies, and opportunities for growth, operational improvement, and enhanced member experience. Utilize reporting and analytics to identify trends, improve operational performance, and support strategic decision-making. Analyze lending performance, portfolio trends, operational data, and member experience feedback to identify opportunities for growth and improvement. Support strategic lending initiatives, promotional campaigns, and market growth efforts in partnership with senior leadership and marketing. Maintain and improve member service by ensuring inquiries, applications, and member issues are handled professionally, consistently, and promptly. Conduct quality reviews and audits to ensure lending accuracy, operational consistency, compliance, and proper documentation. Stay up to date on industry trends, lending laws, operational best practices, and product innovations to recommend improvements and new opportunities. Assist in budgeting, forecasting, and strategic planning for the consumer lending division. Work collaboratively with third-party vendors, partners, and internal stakeholders to support lending operations and organizational initiatives. Oversee the processing and management of title work, loan payoffs, release of liens, and UCC filings. Promote a positive team environment, encouraging collaboration and high-quality service. Ensure employees have the tools, materials, and training necessary for success. Ensures compliance with all federal and state laws and regulations, including the Bank Secrecy Act, Patriot Act, and Office of Foreign Asset Controls, and should request legal interpretation as necessary. Must ensure subordinates are also compliant with such laws and regulations. Must be bondable. Perform other duties as assigned. Requirements: Education & Qualifications Bachelor's degree in Finance, Business Administration, or related field; or equivalent work experience. 3 to 5 years of previous consumer lending experience with a proven performance record, with leadership or management experience preferred. Strong understanding of consumer lending regulations, underwriting principles, operational workflows, and member service expectations. Experience leading teams in a fast-paced lending environment focused on balancing growth, service, operational efficiency, and risk management. Experience working with loan origination systems, workflow automation, reporting tools, and lending technology platforms preferred. Strong communication, coaching, organizational leadership, and relationship-building skills. Ability to analyze operational data and utilize reporting to drive performance improvements and strategic decision-making. Candidate must have a thorough understanding of the Loan Policy and Guidelines. Candidate must be knowledgeable of Credit Unions product and services and demonstrate the ability to cross-sell and build deeper relationships with our membership. This position requires an understanding of basic computer skills including Microsoft 365 suite applications. Skills and Abilities Strong leadership and management skills with the ability to motivate, coach, and develop high-performing teams. Strong analytical and organizational skills with the ability to evaluate operational performance and make data-driven decisions. Exceptional problem-solving skills with a solution-oriented mindset. Detail-oriented with a strong focus on operational consistency, compliance, and member experience. Ability to handle multiple priorities in a fast-paced environment while meeting deadlines. Strong interpersonal, verbal, and written communication skills. Ability to build collaborative relationships across departments and effectively navigate operational challenges. Presents a positive and professional image to members and team members through effective and courteous verbal and written communications. . click apply for full job details
Capital One
New York, New York
Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You'll Do: 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 6 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 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for 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).
Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You'll Do: 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 6 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 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for 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).