Jobs in the United States

25+ jobs

Save this search

Added just now
Software Development Engineer, Amazon Braket, Amazon Braket
Amazon Development Center U.S., Inc.
Seattle, WA
Amazon Braket is evolving to support fault-tolerant quantum computing, and we are looking for a Software Development Engineer who can build high-performance systems infrastructure for…
Added 1 min ago
Account Manager, Integrated Facilities Management
Dexterra
Irvine, CA
We are seeking an experienced Account Manager, Integrated Facilities Management to lead the day-to-day operations of a high-profile corporate headquarters campus in Irvine, California.
Added 2 mins ago
Undergraduate Rotational Electrical Engineer
Worley
Baton Rouge, LA
…across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating…
Added 2 mins ago
Graduate Electrical Engineer
Worley
Baton Rouge, LA
…across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating…
Added 3 mins ago
Lead Software Engineer
Genworth North America Corporation
Remote, United States
Work cross-functionally with security, infrastructure, and operations teams to support platform reliability and compliance.
Added 4 mins ago
Staff Scientist Supervisor - NSF NCEMS (Huck Institutes)
The Pennsylvania State University
United States
This position will be filled at the Research Computing Software Engineer - Supervisor level.
Added 5 mins ago
Launch Fluids Engineer I
Relativity Space
Cape Canaveral, FL
…with every milestone: from first launch to reuse, high-cadence operations, and beyond. If you're looking to define what's next in space launch and write a new playbook, not just repeat…
Added 6 mins ago
Primary Job Template
Quince
Carneys Point, NJ
We’re looking for an IT Engineer II to join our growing North America IT team. In this role, you will help ensure reliable IT operations, secure device and access management, and a seamless…
Added 8 mins ago
L2/L3 Support Engineer - Surgery & Endoscopy - REMOTE
NTT DATA Services
Frisco, TX
We are currently seeking a L2/L3 Support Engineer - Surgery & Endoscopy - REMOTE to join our team in Frisco, Texas (US-TX), United States (US).
Added 13 mins ago
SS
Head of AI Transformation, Engineering & SaaS Operations, MD
State Street
Burlington, MA
- $170,000 to $282,500 USD / year
The Head of AI Transformation, Engineering & SaaS Operations reports directly to the CTO and serves as a cross-functional transformation leader responsible for accelerating AI adoption…
Added 17 mins ago
A
Senior Software Engineer, Fullstack
Assured
New York City, NY
- $180,000 to $200,000 USD / year
We’re looking for a Software Engineer to help architect, build, and productize our AI/ML infrastructure. You'll be the bridge between research, product, customers, and engineering, driving…
Added 18 mins ago
BA
Systems Engineer, Mid
Booz Allen Hamilton
Colorado Springs, CO
- $61,900 to $141,000 USD / year
…Administrator, you will help maintain and evolve our Windows-based infrastructure…
Added 23 mins ago
Information Security Architect
AmTrust Financial Services, Inc.
Cleveland, OH
…security architecture across identity and access management, infrastructure, cloud, applications, data, network, endpoint, third-party, and operational technology domains. As a key member…
Added 24 mins ago
Senior Cost Engineer
Zachry Construction Corporation
Katy, TX
For more than 100 years, Zachry Construction Corporation has been shaping America’s infrastructure from highways and bridges to major civil projects that connect communities and strengthen…
Added 27 mins ago
A
Program Manager – DOE National Laboratory Capital Building Programs
AECOM
New York, NY
- $250,000 to $300,000 USD / year
…should have direct responsibility for delivering building and infrastructure capital projects through multidisciplinary architecture, engineering, and construction teams - not solely…
Added 27 mins ago
A
Program Manager – DOE National Laboratory Capital Building Programs
AECOM
Boston, MA
- $250,000 to $300,000 USD / year
…should have direct responsibility for delivering building and infrastructure capital projects through multidisciplinary architecture, engineering, and construction teams - not solely…
Added 27 mins ago
A
Program Manager – DOE National Laboratory Capital Building Programs
AECOM
Bloomfield, NJ
- $250,000 to $300,000 USD / year
…should have direct responsibility for delivering building and infrastructure capital projects through multidisciplinary architecture, engineering, and construction teams - not solely…
Added 28 mins ago
Sr. Systems Engineer – AI Gateway Platform(Remote)
CrowdStrike, Inc.
Remote, United States
CrowdStrike is seeking an experienced Systems Engineer to own, scale, and secure our enterprise Kong AI Gateway platform as a core technical pillar of the AI Platform Enablement team. This…
Added 28 mins ago
Lead Software Engineer - Data Engineering & Platform
CAI Cox Automotive Corp Svcs., LLC
Dallas, TX
Are you passionate about data and technical leadership? Join Cox Automotive as a Lead Software Engineer! You'll lead the design and implementation of scalable data solutions, guide…
Added 30 mins ago
I
Mid-Level Cloud Infrastructure Engineer - DoW
INNOVIM
Colorado Springs, CO · Huntsville, AL
- $110,000 to $140,000 USD / year
INNOVIM is seeking a Mid-Level Cloud Infrastructure Engineer to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract.
Added 31 mins ago
Machine Learning Engineer 4 - Manager IC
Capital One
NY · McLean, VA · San Jose, CA
…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…
Added 31 mins ago
Full-stack Engineer 4 (Python, AWS)
Capital One
McLean, VA
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 31 mins ago
Senior Manager, Full-stack Engineer
Capital One
McLean, VA · Cambridge, MA · Richmond, VA
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 33 mins ago
Lead Engineer, IT Compliance, Data Integrity
Bristol Myers Squibb
Bothell, WA
The Lead Engineer, IT Compliance, Data Integrity is an individual contributor within the Cell Therapy Information Technology organization supporting Bristol Myers Squibb's Bothell, WA…
Added 33 mins ago
Software Engineer III, Generative AI, Core
Google
Kirkland, WA
Share Software Engineer III, Generative AI, Core

Capital One

Machine Learning Engineer 4 - Manager IC

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

Apply About employer

Applications open in a new tab.

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).

Apply About employer

Report this job