San Francisco, California, United States · On-site
$230k–$286k/yr
Senior 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 le…
Skills: Python, Go, Scala, Java, Kubernetes
San Jose, California, United States · On-site
$75k–$95k/yr
**Monday through Friday 8:00am - 4:30pm OR 6:00am - 2:30pm** The pay range is $75K - 95K per year depending on the relevant years of experience. We offer a competitive package of employee benefits for 30 to 40-hour week …
Skills: Revenue Cycle Management, Denial Management, Behavioral Health Billing, Accounts Receivable Analysis, Financial Reconciliation
San Jose, California, United States · Remote Solely
We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager t…
Skills: Entrepreneurship, Artificial Intelligence, Scaling Startups, Product-Market Fit, Team Building
San Jose, California, United States · On-site
$62k–$116k/yr
Summary: VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leade…
Skills: Financial Reporting, Variance Analysis, Financial Planning, Operational Analysis, Excel
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
$190k–$215k/yr
About AiPrise AiPrise is a YC-backed, Series A company building the global compliance infrastructure for financial services. We help banks, fintechs, cross-border payment providers, stablecoin and crypto companies, and m…
Skills: Product Strategy, Cross-functional Leadership, Fintech, Compliance, API Integration
San Francisco, California, United States · On-site
$22/hr
About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partn…
Skills: Customer Service, Operations Management, Participant Onboarding, Logistics Management, Data Documentation
San Jose, California, United States · Hybrid
Role Summary McAfee is seeking a highly experienced FP&A Senior Analyst to support financial planning, forecasting, and strategic analysis across operating expenses and headcount. This role is designed for a seasoned fin…
Skills: Financial modeling, Business partnership, Workday adaptive planning, Forecasting, Strategic analysis
San Jose, California, United States · Remote OK
$265k–$332k/yr
Immigration sponsorship is not available for this position Responsibilities: In new product design roles, use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian ana…
Skills: Automatic Speech Recognition, Conformer Model Structure, RNN-T, Transformer Encoder, Beam Search
San Jose, California, United States · On-site
$139k–$258k/yr
The Opportunity Adobe is seeking talented and passionate Software Engineer across all organizations to help plan, design, develop, and test software systems or applications for software enhancements and new products used…
Skills: Python, Java, C++, AI/ML, React
Calabasas, California, United States · Hybrid
$132k–$175k/yr
Xperi invents, develops and delivers technologies that create extraordinary experiences at home and on the go for millions of people around the world. Powering billions of consumer electronics, connected cars and digital…
Skills: Process Transformation, AI Implementation, Business Process Mapping, ROI Analysis, KPI Development
San Jose, California, United States · On-site
Company Description 1 Yr Contract Onsite Mid- Level Pay Rate: ~$13,975/mo DOE We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that lev…
Skills: Python, FastAPI, Django, React.js, Node.js
San Jose, California, United States · On-site
$103k–$137k/yr
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: Access Control, Video Management Systems, Network Security, SQL, Troubleshooting
San Jose, California, United States · On-site
$75k–$100k/yr
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: HDD Teardown, Failure Analysis, Clean Room Procedures, Electrical Failure Analysis, Materials Characterization
San Jose, California, United States · On-site
$75k–$100k/yr
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: Failure Analysis, Reliability Integration, Data Analysis, Root Cause Determination, Electronics Testing
San Jose, California, United States · Hybrid
As a Bioinformatics Engineer at AccuScan Sciences, you will develop, optimize, and maintain bioinformatics pipelines utilizing AWS infrastructure and Nextflow workflow management systems. Your contributions will directly…
Skills: Nextflow, AWS, Python, Bash, Docker
San Jose, California, United States · Hybrid
$152k–$190k/yr
Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hypersc…
Skills: OpenSearch, Elasticsearch, Kubernetes, Java, Go
San Jose, California, United States · Hybrid
$144k–$193k/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: Category Management, Analytical Skills, Strategic Leadership, Data Intuition, Cross-functional Collaboration
San Jose, California, United States · On-site
$190k–$361k/yr
Principal Architect Location: San Jose, CA (Hybrid with min. 3 days in office) Summary Drives architectural evolution of Adobe’s Enterprise Customer Experience platform and applications through system and application des…
Skills: System Architecture, Agentic AI, Distributed Systems, Data Management, Microservices
San Francisco, California, United States · On-site
$197k–$246k/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the …
Skills: Machine Learning Engineering, Python, Go, Scala, Java
San Francisco, California, United States • On-site
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Design and develop scalable AI-powered products and ML software components, including distributed training and inference. Contribute to the technical vision and long-term roadmap of ML systems to improve performance, cost, and latency.
Requires a Bachelor's or Master's degree in Computer Science or a related field with 4-6+ years of experience in AI/ML development. Proficiency in Python, Go, Scala, or Java is essential, along with experience in deploying scalable AI solutions on cloud platforms.
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 using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build.
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Design, develop, test and support ML software components including distributed model training and inference, model orchestration and observability, etc.
Leverage a broad stack of Open Source and SaaS AI/ML technologies such as kubernetes, kubeflow pipelines, ray, polars and more
Invent and introduce state-of-the-art ETL and ML optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production ML systems.
Contribute to the technical vision and the long term roadmap of ML systems at Capital One.
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.
Passion for staying abreast of the latest research and industry trends, 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/ML 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.
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI 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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