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Added 1 min ago
Senior Staff AI / ML Solutions Engineer
PPD Development, LP
Morrisville, NC
We have a new opening within the Clinical Research Group (CRG) of Thermo Fisher for a Senior Staff AI/ML Solutions Engineer to support the Finance organization and serve as the hands-on…
Added 1 min ago
Senior Manufacturing Engineer
Band-It-IDEX, Inc.
Denver, CO
Technological Advancements: Proactively research and implement new technologies to optimize manufacturing processes.
Added 4 mins ago
Data Engineer
JLG Industries Inc
Frederick, MD · Hagerstown, MD
…Data Analytics wok encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or…
Added 5 mins ago
Research Scientist, Discovery (Engineering & Applied Sciences)
Anthropic
San Francisco, CA
To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across…
Added 14 mins ago
AI/ML Engineer
Booz Allen Hamilton_United States
Washington, DC
As a Machine Learning (ML) Engineer on our Physical AI team, you’ll have the chance to impact national defense as a critical member of our research and development team. Your customer will…
Added 14 mins ago
University, Software Developer
Booz Allen Hamilton_United States
McLean, VA · Charleston, SC · Honolulu, HI · Panama City, FL · Huntsville, AL · Atlanta, GA · San Diego, CA · Annapolis Junction, MD · El Segundo, CA · Rome, NY · Colorado Springs, CO
Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments
Added 24 mins ago
Software Development Engineer I
Default Brand
Greenwood Village, CO
Demonstrated interest in AI and modern software development through coursework, projects, hackathons, research, or self‑directed learning.
Added 1 hour ago
Sr. Solutions Engineer - AI Natives Business
Databricks
Remote, United States
…strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and…
Added 1 hour ago
Infrastructure Engineer/Sr. Infrastructure Engineer
Denver Water
DENVER, CO
…Our team values collaboration, knowledge sharing, continuous learning, and people who are willing to take ownership and contribute their expertise while continuing to grow. You’ll be…
Added 1 hour ago
Designated Services Engineer
WEKA
United States
…increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less…
Added 1 hour ago
Research & Development Engineer 1
Experis USA
San Jose, CA
As an aspiring engineer, you know that great products don’t start with a finished design - they start with curiosity, disciplined experimentation, and the drive to turn ideas into real…
Added 1 hour ago
1
Engineering Manager, Infrastructure (Device Trust)
1Password
Remote, United States
- $192,000 to $278,000 USD / year
…and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we…
Added 1 hour ago
TT
Software Engineer
True Talent Solutions Partners
Salt Lake City, UT
- $90,000 to $185,000 USD / year
- Develop machine learning techniques to automate cancer cell boundary detection in cytometry data.
Added 1 hour ago
TT
Founding Research Engineer, Robot Learning
True Talent Solutions Partners
San Francisco, CA
- $260,000 to $300,000 USD / year
As the first robot learning hire, you will bring policy training and evaluation in-house at a physical AI data and simulation company. Working with research, engineering, and product teams,…
Added 1 hour ago
TT
Machine Learning Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $400,000 USD / year
- Design, deploy, and maintain distributed machine learning training and inference clusters.
Added 1 hour ago
SA
June 2027 Co-Op - Software Engineer Intern
Shield AI
Dallas, TX · Washington, DC · Seattle, WA · San Diego, CA
- $37 to $97 USD / hour
Shield AI's Software Development Engineer Intern program spans engineers who design, build, and test the code that powers our autonomous systems - from user-facing applications and embedded…
Added 1 hour ago
Machine Learning Engineer, FAI
Amazon.com Services LLC
Sunnyvale, CA
As a Machine Learning Engineer with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the…
Added 1 hour ago
Sr. Machine Learning Engineer, FAI
Amazon.com Services LLC
Sunnyvale, CA
As a Senior Machine Learning Engineer with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to…
Added 2 hours ago
Applied Scientist, Engineering
Anthropic
San Francisco, CA
Translate between engineering domain knowledge and machine learning objectives
Added 2 hours ago
C
Founding Engineer
Clera
San Francisco, CA
- Up to $250,000 USD / year
- Train, evaluate, and deploy machine learning models, along with the infrastructure that supports them.
Added 2 hours ago
C
Full-Stack Software Engineer, Reinforcement Learning
Clera
San Francisco, CA
- $130,000 to $225,000 USD / year
Build the product interfaces, backend services, and internal tools that support an AI reinforcement learning data platform. You will work with research, operations, and external partners to…
Added 2 hours ago
A
Reliability Engineer
Apple
Cupertino, CA
- $150,400 to $225,300 USD / year
…positive manner to the cross-functional and leadership teams. Research new technologies to understand unique failure mechanisms by driving quantification of subjective user perception such…
Added 2 hours ago
ZZ
Principal Data Scientist
ZINC Zillow, Inc.
Remote, United States
- $173,000 to $290,900 USD / year
Added 2 hours ago
Machine Learning Engineer
Reddit
San Francisco, CA
Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle,…
Added 3 hours ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.

Capital One

AI Engineer 5

San Jose, CA, United States
San Francisco, CA, United States
McLean, VA, United States
Cambridge, MA, United States
NY, United States

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Job details

Experience: At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java
Posting language: English
Posted: Nov 4, 2026

Original job description

AI Engineer 5

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.

Team Description:

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.

What You’ll Do:

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, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems
Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity

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
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 enables you to see and exploit optimization opportunities that others miss
You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown

Basic Qualifications:

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, CUDA, or Java

Preferred Qualifications:

Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
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, delivering, and supporting complex AI systems
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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
Experience in building agentic AI systems and agentic workflows
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
Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines
Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes
Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression
Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)

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 AI Engineer 5

McLean, VA: $229,900 - $262,400 for AI Engineer 5

New York, NY: $250,800 - $286,200 for AI Engineer 5

San Francisco, CA: $250,800 - $286,200 for AI Engineer 5

San Jose, CA: $250,800 - $286,200 for AI Engineer 5

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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).

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More about this job

Skills

Machine learning
Research
AWS
Hugging Face
PyTorch
Regulatory compliance
Computer science
Electrical engineering
Computer engineering
ML
Python
Go
Scala
Oracle Java
Google Cloud
Microsoft Azure
C++
C#
Communication skills
Presentation skills
Technical support
Recruitment

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