San Jose, California, United States · On-site
$197k–$246k/yr
Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learnin…
Skills: Machine Learning Engineering, Python, Scala, Java, Distributed Computing
San Jose, California, United States · On-site
$197k–$246k/yr
Lead AI Engineer (Vision model customization, VML) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learn…
Skills: AI Engineering, Vision Model Customization, LLM Optimization, Python, PyTorch
San Jose, California, United States · Hybrid
$136k–$196k/yr
The GTM & Sales Consol team is seeking a highly analytical and technically strong finance professional to support our consolidation, forecasting, and financial reporting processes. This hybrid role combines FP&A expertis…
Skills: Financial Modeling, Forecasting, SQL, Databricks, Variance Analysis
San Jose, California, United States · On-site
$137k–$277k/yr
Cloud Data Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the w…
Skills: Python, Java, Apache Spark, Kafka, Generative AI
San Jose, California, United States · Hybrid
$184k–$245k/yr
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pu…
Skills: Product Management, E-commerce, Live Commerce, AI-native Tools, Rapid Experimentation
San Jose, California, United States · On-site
$150k–$300k/yr
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Skills: ML Classifiers, Content Moderation, Production Monitoring, Incident Response, Trust & Safety
San Jose, California, United States · Hybrid
$196k–$314k/yr
Company Description Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, Califor…
Skills: SSD Architecture, PCIe/NVMe, Memory Controller, CPU Complex, ASIC Design
San Jose, California, United States · On-site
$125k–$145k/yr
Job Title AMI Technical Analyst | Requisition ID req1126 Type of Employment Regular Full-Time Employee | Job Openings 1 Compensation Range 125,000.00 - 145,000.00 | Compensation Type Annual Salary Founded in 1866, San Jo…
Skills: Business Analysis, Gap Analysis, SQL, Data Analysis, Process Modeling
San Jose, California, United States · On-site
$125k–$145k/yr
Job Title AMI Technical Analyst | Requisition ID req1126 Type of Employment Regular Full-Time Employee | Job Openings 1 Compensation Range 125,000.00 - 145,000.00 | Compensation Type Annual Salary Founded in 1866, San Jo…
Skills: Business Analysis, Gap Analysis, SQL, Data Analysis, Process Modeling
San Jose, California, United States · Hybrid
$137k–$277k/yr
Cloud SW QA and Automation Engineer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-…
Skills: Cloud QA, Automation Testing, TCP/IP, OSI Model, AWS
San Francisco, California, United States · On-site
$197k–$246k/yr
Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in …
Skills: MLX, Agentic AI, Generative AI, LLM Optimization, Python
San Jose, California, United States · On-site
$150k–$300k/yr
About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persisten…
Skills: Threat Modeling, Cloud Security, AWS, GCP, Kubernetes
San Jose, California, United States · On-site
$150k–$300k/yr
About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persisten…
Skills: Privacy Infrastructure, Software Engineering, System Architecture, DSAR Pipelines, Data De-identification
San Jose, California, United States · Hybrid
$125k–$145k/yr
KeyPoint Credit Union is seeking a versatile and forward-thinking technical resource to join our Digital Services team. KeyPoint is undergoing a transformation, aggressively adopting agentic AI. In this role, you will de…
Skills: Agentic AI, Microsoft Copilot Studio, Microsoft .NET, C#, TypeScript
San Jose, California, United States · On-site
As a Senior Software Developer, you will be at the forefront of developing microservices using Golang within a cloud-based architecture. You will play a key role in designing, developing, and deploying scalable systems t…
Skills: Golang, Microservices, Azure, Docker, Kubernetes
San Jose, California, United States · Hybrid
$187k–$273k/yr
The application window is expected to close on: 03/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team The application window is expe…
Skills: Product Quality Engineering, Quality Management Systems, New Product Introduction, Root Cause Analysis, Risk Mitigation
San Jose, California, United States · On-site
THE ROLE Kai is hiring its first Director of Revenue Operations. This is a greenfield, zero-to-one build — there is no existing RevOps function, and the tech stack and processes are yours to build or rebuild from the gro…
Skills: Revenue Operations, GTM Strategy, CRM Implementation, Sales Forecasting, Pipeline Reporting
San Jose, California, United States · On-site
$250k–$300k/yr
About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persisten…
Skills: Audio Quality Evaluation, Digital Signal Processing, Python, Audio Test Infrastructure, Acoustic Echo Cancellation
San Jose, California, United States · On-site
$95k–$105k/yr
About the Position: Foxconn is seeking a highly experienced and driven Senior Quality Engineer to join our team. In this critical role, you will ensure product quality across complex PCBA and system-level manufacturing p…
Skills: Supplier Quality Management, Root Cause Analysis, Incoming Quality Control, New Product Introduction, PCBA Manufacturing
San Jose, California, United States · On-site
$153k–$219k/yr
The application window is expected to close on: 04/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This is an onsite role and will require work…
Skills: Emulation, C/C++, TCL, Debugging, Performance Testing
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Lead the design and productionization of foundation models using self-supervised learning and transformer architectures. Collaborate with cross-functional Agile teams to build scalable ML infrastructure and optimized data pipelines for business applications.
Requires a Bachelor's degree with at least 6 years of experience in distributed computing and 2 years in scaling ML systems. Preferred candidates hold a postgraduate degree and have experience in people leadership and public cloud deployment.
As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures — pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing. You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices.
What You’ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java
Basic Qualifications:
Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems
Preferred Qualifications:
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer
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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper. Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
Offices: 1680 Capital One Drive, McLean, Va 22102, US · 8020 Towers Crescent Dr, Vienna, VA 22182, US · 2 Bethesda METRO Center, Bethesda, MD 20814, US
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