Jobs in the United States

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Added 2 mins ago
Web Developer
CACI, INC.-FEDERAL
Chantilly, VA
AWS certification, such as AWS Certified Developer – Associate or AWS Certified DevOps Engineer – Professional.
Added 4 mins ago
Platform Engineer - AVP
Barclays Services LLC
United States
…solutions. In this role, you will build secure, scalable, and developer-friendly platforms that accelerate innovation across cloud, container, AI, and enterprise environments. Join a team…
Added 4 mins ago
M
IT Analyst IV
ManpowerGroup
Eagan, MN
- $55 USD / hour
…applications. The ideal candidate will have strong experience in C#, Python, or Java, SQL databases, front-end web technologies, web services, and AWS cloud…
Added 5 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Saint Paul, MN
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 5 mins ago
Lead Software Developer
Lumen
Saint Paul, MN
Proficient in Java, Rest API, API management, MySQL, Python, GIT Hub/Actions, Jenkins, Kubernetes, Kafka, and working within hosted environments (AWS, Azure, Google)
Added 5 mins ago
PN
Software Engineer 1
Pacific Northwest National Laboratory
Saint Paul, MN
- $83,100 USD / year
…successful candidate will design and develop RESTful APIs using Python and FastAPI, build and maintain PostgreSQL databases, implement role-based access control (RBAC) across platform…
Added 5 mins ago
Agentic AI Engineer, Senior
Deloitte
Minneapolis, MN
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
Added 5 mins ago
Databricks Data Engineer
Deloitte
Minneapolis, MN
Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
Added 5 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Minneapolis, MN
2+ years of hands-on experience developing AI/ML applications in Python
Added 5 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Minneapolis, MN
2+ years of hands-on experience developing AI/ML applications in Python
Added 5 mins ago
Machine Learning Engineer II
Mimecast North America, Inc.
Minneapolis, MN
Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV,…
Added 5 mins ago
AB
Infrastructure Engineer-Network Automation Focused
Associated Bank
Minneapolis, MN
- $11.41 USD / hour
Hands-on experience with network automation and scripting using Python, Bash, PowerShell, or Ansible.
Added 5 mins ago
Lead Integration Engineer II
Deloitte
Minneapolis, MN
Experience with Java, Spring Boot, JavaScript, Python, .NET, and/or Microsoft technologies.
Added 5 mins ago
Data Engineer II
Deloitte
Minneapolis, MN
2+ years of experience using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.
Added 7 mins ago
Cloud Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
AWS GovCloud, Cloud Engineering, ContainerizationCertifications:
Added 7 mins ago
Senior Full Stack Engineer
Bond OpCo, LLC
Fort Lauderdale, FL
7+ years in software engineering, including 3+ years with TypeScript and Node.js or Python in production.
Added 8 mins ago
Jr. Developer
Cambridge Associates LLC
United States
Cambridge Associates is seeking a software developer to join our development team. You will have the opportunity to work with a talented team designing and developing mission-critical…
Added 9 mins ago
Cloud Systems Engineer
Dark Wolf Solutions
Ogden, UT
Hands-on experience operating and managing infrastructure within Amazon Web Services (AWS).
Added 12 mins ago
Container Platform Engineer
Bright Vision Technologies
Remote, United States
…provisioning and hardening, through workload onboarding and developer enablement, to ongoing operations and continuous improvement. The ideal candidate will bring deep expertise in…
Added 12 mins ago
Full-stack Engineer 4
Capital One
NY
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 12 mins ago
Full Stack Engineer - 4 (Java, JavaScript, TypeScript, AWS)
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 12 mins ago
Principal Data Analyst
Capital One
McLean, VA · NY · Richmond, VA
…insights and custom reporting solutions. This work enhances the developer experience, equips leaders to drive strategy, and delivers high-impact value by fostering enterprise-wide…
Added 12 mins ago
Senior Associate, Data Scientist - Business Cards Marketing Data Science
Capital One
NY
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Added 13 mins ago
Web Developer
CACI
Chantilly, VA · Chantilly
AWS certification, such as AWS Certified Developer – Associate or AWS Certified DevOps Engineer – Professional.
Added 15 mins ago
VI
Senior Data Engineer, Data Products & Platforms
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
Design and build scalable data ingestion, transformation, and delivery pipelines using Databricks, Apache Spark, Python, and SQL.

Closed listing

Capital One

Machine Learning Engineer 5 (IC)

San Francisco, CA, United States
San Jose, CA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

Machine Learning Engineer 5 (IC)

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

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
Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale
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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
5+ years of experience optimizing ML algorithms, configurations, and infrastructure
5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans
5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences

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 Machine Learning Engineer 5

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

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

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

San Jose, CA: $250,800 - $286,200 for Machine Learning 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 (https://www.capitalonecareers.com/benefits) . 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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