Location: Malvern, PennsylvaniaJob Type: ContractCompensation Range: $60 - 65 per hourWe are seeking a creative and user-focused UX/UI Designer to design intuitive, accessible digital experiences across web and mobile platforms. In this role, you will collaborate with cross-functional teams to transform user insights and business goals into impactful design solutions while driving consistency, usability, and continuous improvement through data-informed design. Responsibilities:Designs user flows, wireframes, prototypes, and user interfaces for experiences across web and mobile platforms, with a strong emphasis on mobile optimization and usability.Partners with cross-functional teams to translate business objectives, user needs, and research insights into intuitive and impactful digital experiences.Collaborates with researchers and analytics partners to incorporate qualitative and quantitative data into design decisions.Helps define and evolve design patterns, component libraries, and experience standards that drive consistency across DAP experiences.Identifies opportunities to simplify complex workflows and improve the end-to-end client experience.Leverages experimentation and user feedback to validate design solutions and inform future enhancements.Advocates for user-centered design while balancing business goals, technical feasibility, and accessibility requirements.Stays current on emerging design trends, mobile best practices, and industry innovations.Participates in special projects and performs other duties as assigned.Qualifications:Minimum three years of experience in UX design, product design, or a related field.Experience designing responsive and/or mobile experiences.Strong proficiency in wireframing, prototyping, and communicating design decisions.Familiarity with design systems and scalable design practices.Undergraduate degree or equivalent combination of training and experience in a creative, technical, or related field.JOBID: 87 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.
08/06/2026
Full time
Location: Malvern, PennsylvaniaJob Type: ContractCompensation Range: $60 - 65 per hourWe are seeking a creative and user-focused UX/UI Designer to design intuitive, accessible digital experiences across web and mobile platforms. In this role, you will collaborate with cross-functional teams to transform user insights and business goals into impactful design solutions while driving consistency, usability, and continuous improvement through data-informed design. Responsibilities:Designs user flows, wireframes, prototypes, and user interfaces for experiences across web and mobile platforms, with a strong emphasis on mobile optimization and usability.Partners with cross-functional teams to translate business objectives, user needs, and research insights into intuitive and impactful digital experiences.Collaborates with researchers and analytics partners to incorporate qualitative and quantitative data into design decisions.Helps define and evolve design patterns, component libraries, and experience standards that drive consistency across DAP experiences.Identifies opportunities to simplify complex workflows and improve the end-to-end client experience.Leverages experimentation and user feedback to validate design solutions and inform future enhancements.Advocates for user-centered design while balancing business goals, technical feasibility, and accessibility requirements.Stays current on emerging design trends, mobile best practices, and industry innovations.Participates in special projects and performs other duties as assigned.Qualifications:Minimum three years of experience in UX design, product design, or a related field.Experience designing responsive and/or mobile experiences.Strong proficiency in wireframing, prototyping, and communicating design decisions.Familiarity with design systems and scalable design practices.Undergraduate degree or equivalent combination of training and experience in a creative, technical, or related field.JOBID: 87 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. 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 7+ years of experience designing, developing, delivering, and supporting AI services at scale 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 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 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 . click apply for full job details
08/06/2026
Full time
Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. 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 7+ years of experience designing, developing, delivering, and supporting AI services at scale 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 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 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 . click apply for full job details
Lead Machine Learning Engineer (Finance Tech - AI Enablement) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. What You'll Do: In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. 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 7+ years of experience designing, developing, delivering, and supporting AI services at scale 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 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure 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. 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 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 . click apply for full job details
08/06/2026
Full time
Lead Machine Learning Engineer (Finance Tech - AI Enablement) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. What You'll Do: In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. 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 7+ years of experience designing, developing, delivering, and supporting AI services at scale 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 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure 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. 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 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 . click apply for full job details
Lead Machine Learning Engineer (Manager IC) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent along with our deep experience in machine learning position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. 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 7+ years of experience designing, developing, delivering, and supporting AI services at scale 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 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 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 . click apply for full job details
08/06/2026
Full time
Lead Machine Learning Engineer (Manager IC) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent along with our deep experience in machine learning position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. 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 7+ years of experience designing, developing, delivering, and supporting AI services at scale 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 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 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 . click apply for full job details
Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/05/2026
Full time
Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/02/2026
Full time
Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Michigan Farm Bureau is seeking a UX Application Developer to design and build intuitive, accessible web and mobile applications that serve Michigan's agricultural community. In this role, you'll collaborate with product owners, designers, and business stakeholders to turn member needs into user-centered digital experiences. You'll create wireframes, prototypes, and front-end features using modern JavaScript frameworks, ensuring responsive design and strong performance. This position offers mission-driven work, professional growth, and the opportunity to improve tools that support farmers and rural communities across Michigan.
08/01/2026
Full time
Michigan Farm Bureau is seeking a UX Application Developer to design and build intuitive, accessible web and mobile applications that serve Michigan's agricultural community. In this role, you'll collaborate with product owners, designers, and business stakeholders to turn member needs into user-centered digital experiences. You'll create wireframes, prototypes, and front-end features using modern JavaScript frameworks, ensuring responsive design and strong performance. This position offers mission-driven work, professional growth, and the opportunity to improve tools that support farmers and rural communities across Michigan.