Jobs in the United States

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Added 1 min ago
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Tool Development and Integration Engineer
The Aerospace Corpor
Colorado Springs, CO
- $95,200 to $142,800 USD / year
…concept and architecture design to performance assessment to application of space and space-enabled…
Added 1 min ago
SIOP Manager - Pneumatics Platform
Gast Manufacturing, Inc.
Benton Harbor, MI · Linthicum, MD · Rutherford, NJ
…Linthicum, Maryland, we offer the scale and agility to innovate, engineer, and transform ideas into reliable solutions for the world’s most critical applications. Our products power…
Added 2 mins ago
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Advanced Embedded Digital Engineer
Aerospace
San Diego, CA
- $118,000 to $148,000 USD / year
Take ownership for a digital component within a phased radar or Electronic Warfare application and drive the design from concept to production. As a advanced embedded engineer, you will…
Added 4 mins ago
Product Quality Engineer
Anduril Industries
Costa Mesa, CA
…mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative…
Added 6 mins ago
Software Engineer I
Technology Service Corporation
Plymouth, MA
Falcata is seeking a Software Engineer I in Plymouth, MA to support the Commercial Product Cell onsite. As a Software Engineer you will help Falcata meet our customer’s networking…
Added 6 mins ago
Network Security Engineer
First Quality Enterprises, LLC
Remote, United States
Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you’ll find a…
Added 6 mins ago
Systems Engineer III
Sierra Space
Centennial, CO · Louisville, CO
The Systems Engineer III contributes to the development and implementation of advanced system solutions by providing alignment, connection and direction to the technical team throughout the…
Added 9 mins ago
AWS DevOps Engineer
Infosys
United States
…transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock…
Added 9 mins ago
Senior Data Engineer -Python and AWS
Infosys
United States
…growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to…
Added 10 mins ago
Sr. Systems Engineer – AI Gateway Platform(Remote)
CrowdStrike, Inc.
Remote, United States
…breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and…
Added 11 mins ago
Lead Software Engineer - Data Engineering & Platform
CAI Cox Automotive Corp Svcs., LLC
Dallas, TX
Cox Automotive seeks a Lead Software Engineer to join our AI & Data Delivery Platform organization.
Added 12 mins ago
SC51P2 Sci Content Engineer
CAS
Columbus, OH
The Scientific Content Engineer contributes specialized expertise within a network of content management, data analysis, and domain experts. Apply scientific knowledge, established…
Added 14 mins ago
Machine Learning Engineer 4 - Manager IC
Capital One
NY · McLean, VA · San Jose, CA
…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…
Added 15 mins ago
Senior Electrical Engineer - Computing Products (Onsite)
RTX
United States
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical…
Added 15 mins ago
Senior Design Engineer - Mechanical Systems (Onsite)
RTX
United States
Pratt & Whitney is seeking an experienced Senior Design Engineer to join its Mechanical Systems design team within the Mechanical Systems, Externals & Nacelles (MSEN) organization. This…
Added 15 mins ago
Staff Software Engineer, Reef Intent Engine
Google
Kirkland, WA
Share Staff Software Engineer, Reef Intent Engine
Added 16 mins ago
Solar Development Engineer, Solar Design Team
Amazon
Redmond, WA
We are seeking a Solar Development Engineer to support the design, build, and test of next-generation solar array hardware. In this role, you will contribute to the development of solar…
Added 16 mins ago
Sr. Thermal Design Engineer, Amazon Leo
Amazon
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We are looking for a highly skilled Senior Thermal Design Engineer who brings a strong blend of technical depth, research capability, and analytical rigor. The ideal candidate has a…
Added 16 mins ago
Software Development Engineer, Leo Commerce Data Platform
Amazon
Redmond, WA
Have you wanted an opportunity to develop the software applications and services for an advanced global communications service? This role is for a Software Development Engineer who will…
Added 16 mins ago
Senior Analyst, Compliance Technology
Coinbase
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We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
Added 16 mins ago
Senior Network Engineer
Cognizant
Olympia, WA
Cognizant is seeking a Senior Network Engineer to design, implement, secure, operate, and optimize enterprise datacenter, campus, branch, wireless, and hybrid-cloud networks. This role…
Added 16 mins ago
Software Engineer II
Amentum
Olympia, WA
Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges…
Added 16 mins ago
Delivery Practice Manager - AI/ML, Data & AI (ProServe)
Amazon
Seattle, WA
Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Added 16 mins ago
Electrical Engineer
Actalent
Arlington, VA
Active Professional Engineer (PE) license in electrical engineering.
Added 16 mins ago
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Product Manufacturing Engineer
Actalent
Asheville, NC
- $52.88 to $57.69 USD / hour
Job Title: Product Manufacturing EngineerJob DescriptionAs a Product Manufacturing Engineer, you will play a pivotal role in developing First Article Inspections (FAI) and coordinating…

Capital One

Machine Learning Engineer 4 - Manager IC

NY, United States
McLean, VA, United States
San Jose, CA, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

Machine Learning Engineer 4 - Manager 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.

As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One - ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security.

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
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 4 years of experience programming with Python, Java, Golang, or C++
At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
At least 2 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 Machine Learning software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.
3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.
3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).
3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.
1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
Authored/co-authored a paper on a ML technique, model, or proof of concept

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

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.

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

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

San Jose, CA: $215,200 - $245,600 for Machine Learning 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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