Live · 582 open AI roles

AI & Machine Learning Jobs

High-signal AI engineering roles, refreshed daily across infra, agents, ML, and product teams.

Updated daily Verified employers Remote · USA · EMEA

Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Posted Date 5/19/2026 Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital On...

Fulltime Machine Learning Data Engineer Ai

$209k - $262k · Senior Fully remote

Ukraine We’re looking for a Middle AI/ML Engineer (Python, LLM, NLP/CV) to build and scale AI-powered products end-to...

Ai Engineer Machine Learning Nlp Computer Vision

Fully remote

We’re looking for a Senior Product Development AI Engineer to join our Cortellis Drug Discovery Intelligence (CDDI) t...

Fulltime Ai Ai Engineer

Fully remote

du poste Taux journalier (TJM): 650 Descriptif détaillé du besoin Dans le cadre du développement d’une solution d’IA ...

Fulltime Ai Engineer Machine Learning Ai

Fully remote

Opportunity Information: Worldpac, a private equity-owned leader in automotive parts distribution, is seeking an AI E...

Fulltime Ai Ai Engineer Generative Ai

$83k - $111k · Senior Fully remote

Newfront (a WTW company) embraces a flexible work environment and supports employees working remotely, hybrid, or in-...

Fulltime Remote Ai Ai Engineer

$160k - $250k · Senior Fully remote

We are seeking a Lead AI Engineer to build a central GenAI Platform, empowering hundreds of product teams across the ...

Ai Ai Engineer

Fully remote

du poste Dans le cadre du développement et de l’industrialisation de solutions reposant sur l’intelligence artificiel...

Fulltime Ai Ai Engineer

Fully remote

Rejoins Saegus Saegus est un cabinet de conseil indépendant spécialisé dans la transformation par la Data et l’intell...

Ai Ai Engineer

Fully remote

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and deli...

Fulltime Ai Ai Engineer Machine Learning

$178k - $316k · Senior Fully remote

Senior AI Engineer – Google AI & Generative Intelligence Senior AI Engineer – Google AI & Generative Intelligence Loc...

Ai Ai Engineer Generative Ai

Fully remote

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and deli...

Fulltime Ai Ai Engineer Machine Learning

$178k - $316k · Senior Fully remote

Senior AI Engineer – Google AI & Generative Intelligence Senior AI Engineer – Google AI & Generative Intelligence Loc...

Ai Ai Engineer Generative Ai

Fully remote

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and deli...

Fulltime Ai Ai Engineer Machine Learning

$178k - $316k · Senior Fully remote

Senior AI Engineer – Google AI & Generative Intelligence Senior AI Engineer – Google AI & Generative Intelligence Loc...

Ai Ai Engineer Generative Ai

Fully remote

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and deli...

Fulltime Ai Ai Engineer Machine Learning

$178k - $316k · Senior Fully remote

Senior AI Engineer – Google AI & Generative Intelligence Senior AI Engineer – Google AI & Generative Intelligence Loc...

Ai Ai Engineer Generative Ai

Fully remote

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI ...

Ai Ai Engineer Generative Ai

$270k* · Senior Fully remote

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI ...

Ai Ai Engineer Generative Ai

$225k* · Senior Fully remote

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and cre...

Fulltime Ai Machine Learning Generative Ai

Fully remote

Selected role

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Information Technology Senior Management Forum McLean, VA, US

$209k - $262k Senior Full-time

Posted Date

5/19/2026

Description

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

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 detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:

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:

Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies
Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment
Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value
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
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
Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor’s Degree
At least 8 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 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Preferred Qualifications:

Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field
6+ years of experience designing, developing, delivering, and supporting AI services at scale
3+ years of experience developing AI and ML algorithms or technologies using Python
2+ years of experience with Retrieval Augmented Generation (RAG)
Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production
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

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 Machine Learning Engineer

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer

New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer

Richmond, VA: $209,000 - $238,500 for Sr. 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).

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

What you’ll do in the role:

Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies
Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment
Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value
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
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
Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor’s Degree
At least 8 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 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Preferred Qualifications:

Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field
6+ years of experience designing, developing, delivering, and supporting AI services at scale
3+ years of experience developing AI and ML algorithms or technologies using Python
2+ years of experience with Retrieval Augmented Generation (RAG)
Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production
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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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.

Salary

229,900.00 - 262,400.00 Annual

Type

Full-time

Showing 81–100 of 582 AI roles

1 … 3 4 6 7 30

AI Learning Hub · Always curated

Explore the complete
AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI companies

Browse vetted AI-first startups and labs.

View list

Podcasts

Interviews with researchers & founders.

Explore shows

Events & meetups

Conferences, hackathons & local meetups.

Upcoming events

Learning paths

Curated tracks to ship real LLM systems.

Start learning

Basic vs Premium

Choose Your Plan

Unlock powerful features with Premium membership. Get instant job alerts, AI interview practice, verified profile badge, and more to accelerate your job search.

Get Started with Premium

Cancel anytime. No hidden fees.

Features

Basic Plan

Free forever

Core tools to browse AI roles.

Premium Plan

For serious job seekers

Unlock everything.

Upgrade

Email Alert Frequency

Daily alerts only – limited frequency options.

Instant notifications + all frequency options (daily, weekly, immediately).

Multiple Custom Alerts

Cannot create multiple custom job alerts.

Create unlimited custom alerts for different skills and locations.

Job History & Stats

Feature locked – premium users only.

Track all applied jobs with performance stats and progress.

Interview Buddy

1 free session per day.

Unlimited Interview Buddy sessions with feedback.

AI Mock Interview

Feature locked – premium users only.

Timed mock interviews with a readiness report.

Billing Management

No billing portal access.

Full access to billing portal for subscription management.

Profile Image Style

Grayscale filter applied to profile images.

Full-color profile images – no filters.

Upgrade Banners

See promotional banners every 5 jobs.

No promotional banners – clean browsing experience.

Premium is designed for active AI job seekers who want structure, data, and coaching baked into their search workflow.

Upgrade to Premium

AI & Machine Learning Jobs

Find your next AI role

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Middle AI/ML Engineer (Python, LLM, NLP/CV)

Senior Product Development AI Engineer

AI Engineer / ML Engineer Azure - IA Générative appliquée aux mémoires technique - Freelance

AI Engineer

Senior AI Engineer

Lead AI Engineer

Software / AI Engineer - IA Générative - Freelance

Consultant·e AI Engineer - Confirmé·e / Senior

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Forward Deployed AI Engineering Manager, Enterprise

Forward Deployed AI Engineer, Enterprise

Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA

Explore the complete
AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Middle AI/ML Engineer (Python, LLM, NLP/CV)

Senior Product Development AI Engineer

AI Engineer / ML Engineer Azure - IA Générative appliquée aux mémoires technique - Freelance

AI Engineer

Senior AI Engineer

Lead AI Engineer

Software / AI Engineer - IA Générative - Freelance

Consultant·e AI Engineer - Confirmé·e / Senior

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Applied AI Engineer

Senior AI Engineer - Google AI Generative Intelligence - 26-05877

Forward Deployed AI Engineering Manager, Enterprise

Forward Deployed AI Engineer, Enterprise

Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent

Explore the complete
AI ecosystem