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Added 6 mins ago
Agent Development Engineer, Customer Systems
Apple
Cupertino, CA · Sunnyvale, CA
Background as a Machine Learning Engineer or Full-Stack Developer with a strong interest in autonomous systems.
Added 11 mins ago
Senior Software Development Engineer, Robotics Perception
Amazon.com Services LLC
Wilmington, MA · North Reading, MA
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across…
Added 15 mins ago
C
Founding Applied AI Engineer
Clera
San Francisco, CA
- $180,000 to $230,000 USD / year
As the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape agent architecture, evaluation…
Added 15 mins ago
Forward Deployed Engineer
Clera
Remote, United States
- Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.
Added 43 mins ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 43 mins ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 43 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 43 mins ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 43 mins ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 43 mins ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 43 mins ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 43 mins ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 43 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 43 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 43 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 43 mins ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
Added 1 hour ago
Senior Frontend Software Engineer
Raydar
New York, NY
- Exposure to machine learning and large language model features in software products.
Added 2 hours ago
Offensive Security AI Engineer
Micron Technology, Inc.
Boise, ID
AI will be used as a force multiplier throughout the testing lifecycle. The engineer will apply AI-assisted techniques to accelerate reconnaissance, analyze attack paths, develop and debug…
Added 2 hours ago
Staff Software Engineer
Cisco Systems, Inc.
Remote, United States
Join Splunk and help shape the future of machine data!
Added 2 hours ago
Senior Software Engineer, AI/ML Network Engineering
Cisco Systems, Inc.
Milpitas, CA
Understanding of foundational AI concepts and machine learning algorithms.
Added 2 hours ago
W
Software Engineer II | Bentonville, Arkansas
Walmart
BENTONVILLE, AR
- $80,000 to $155,000 USD / year
As a Software Engineer II, you will deliver high-quality software solutions by collaborating with cross-functional teams to design, develop, and maintain scalable applications and services.…
Added 2 hours ago
W
(USA) Principal, Software Engineer
Walmart
SUNNYVALE, CA
- $143,000 to $286,000 USD / year
…globally. It includes software engineers, data scientists, and machine learning experts focused on innovative Generative AI applications within complex enterprise environments. As part of…
Added 3 hours ago
ENGINEER TEST 1 - ALIGNMENT SPECIALIST
HII
Pascagoula, MS
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…
Added 3 hours ago
UO
Senior FPGA Development Engineer
University of Colorado Denver
Boulder, CO
- $34,986 USD / year
The Laboratory for Atmospheric and Space Physics (LASP) is seeking an FPGA Design Engineer IV to serve as a senior technical leader for flight digital logic used in spaceflight science…
Added 4 hours ago
HPC Systems Engineer
University Corporation for Atmospheric Research
Boulder, CO
…with large-scale computing capabilities, platforms for sharing and discovering Earth system science data, and innovative AI/ML and analysis tools. CISL scientists engage in computational…

Capital One

AI Engineer 4

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

Original job description

AI Engineer 4

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.
Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment
Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift
Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met
Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation

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 4 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 2 years of experience developing AI and ML algorithms or technologies
At least 4 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
6+ 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 AI services
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
Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale
Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules
Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

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: $197,300 - $225,100 for AI Engineer 4

McLean, VA: $197,300 - $225,100 for AI Engineer 4

New York, NY: $215,200 - $245,600 for AI Engineer 4

San Francisco, CA: $215,200 - $245,600 for AI Engineer 4

San Jose, CA: $215,200 - $245,600 for AI Engineer 4

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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