Jobs in the United States

25+ jobs

Save this search

Added just now
Sr MTS Electrical Engineer
Applied Materials, Inc
Santa Clara, CA
Added just now
Physicist/Scientist III – Photonics Simulation & Layout Engineer
Applied Materials, Inc
Santa Clara, CA
Added just now
Product Quality Engineer
Applied Materials, Inc
Gloucester, MA
Added just now
Advanced Packaging Global Product Support Engineer
Applied Materials, Inc
Santa Clara, CA
Added just now
Orion GPS Engineer III (E3)
Applied Materials, Inc
Santa Clara, CA
Added just now
Platform Center of Excellence Mechanical Engineer
Applied Materials, Inc
Santa Clara, CA
As a Mechanical Engineer, you’ll leverage your strong foundation in physics, mathematics, and materials science to process and resolve mechanical problems, design and implement custom…
Added just now
Mechanical Engineer III -(E3)
Applied Materials, Inc
Santa Clara, CA
As a Mechanical Engineer, you’ll leverage your strong foundation in physics, mathematics, and materials science to process and resolve mechanical problems, design and implement custom…
Added 3 mins ago
Senior Software Engineer, Customer Financial Execution
Coca-Cola North America
Atlanta, GA
As a Senior Software Engineer, Customer Financial Execution, you'll serve as the technical lead on a product team building digital experiences and capabilities that support important…
Added 3 mins ago
Senior Software Engineer, Financial Planning & Performance
Coca-Cola North America
Atlanta, GA
As a Senior Software Engineer, Financial Planning & Performance, you'll serve as the technical lead on a product team building capabilities that support how our business plans, forecasts,…
Added 3 mins ago
RGM Product Manager
The Coca-Cola Company
Atlanta, GA
Added 3 mins ago
Platform Engineer
Guardify Inc.
Omaha, NE
As a Platform Engineer, you will own the foundation Guardify runs on: our cloud infrastructure, how code gets to production, how we know when something is wrong, and how we keep our…
Added 6 mins ago
SM
Software & Business Intelligence Engineer
Santa Monica Seafood Company
Los Angeles, CA, CA
- $150,000 to $175,000 USD / year
Santa Monica Seafood is seeking a seasoned Software and Business Intelligence Engineer with a strong blend of software development/engineering, report writing, and business analysis…
Added 7 mins ago
Principal Product Security Engineer
Cribl
Remote, United States
Cribl is looking for a Principal Product Security Engineer to serve as a hands-on technical authority at the intersection of application, cloud, and FedRAMP environment security. You will…
Added 7 mins ago
Marketing Engineer (AI Agents)
Cresta
Remote, United States
As Cresta’s first Marketing Engineer (AI Agents), you'll own the systems behind how Cresta shows up on the internet. In this role, you will own the technical decisions behind cresta.com and…
Added 7 mins ago
AI Growth Engineer
Cresta
Remote, United States
As Cresta’s first AI Growth Engineer, you'll own the systems behind how Cresta shows up on the internet. In this role, you will own the technical decisions behind cresta.com and help shape…
Added 8 mins ago
Software Engineer - GTM Engineering
Engine
Remote, United States
As a GTM Engineer at Engine, you’ll help build and support internal AI-powered tools that make our go-to-market teams faster and more effective. Working closely with senior engineers,…
Added 9 mins ago
Mechanical Engineer III -(E3)
Applied Materials
Santa Clara, CA · Santa Clara
As a Mechanical Engineer, you’ll leverage your strong foundation in physics, mathematics, and materials science to process and resolve mechanical problems, design and implement custom…
Added 9 mins ago
Senior Application Engineer
Synopsys
Exton, PA
In this role, the Senior Application Engineer will join the AGI IT Application team and will be responsible for maintaining and improving AGI’s Application Services, including daily…
Added 9 mins ago
Principal Application Engineer- Missile Defense
Synopsys
USA Off-Site, CO
Added 9 mins ago
Applications Engineering, Architect- Missile Defense
Synopsys
Exton, PA
…and then turn around and debug a MATLAB script with a junior…
Added 9 mins ago
ASIC Physical Design, Principal Engineer
Synopsys
Sunnyvale, CA
…assumption you made six months ago that no longer holds. You are the engineer who catches those problems early, not because you are paranoid, but because you have seen what happens when…
Added 10 mins ago
Software Development Engineer, Amazon Quick
Amazon Development Center U.S., Inc.
Seattle, WA
The Amazon Quick team is looking for an exceptional Software Development Engineer for a strategic new initiative. Amazon Quick is a generative AI–powered assistant that can answer…
Added 11 mins ago
BD
Senior Staff ML Engineer, Spot
Boston Dynamics, Inc.
United States
- $175,000 to $215,000 USD / year
Added 13 mins ago
Artificial Intelligence Software Engineer
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
…contribute to the company’s success. As a(n) Artificial Intelligence Engineer within PNC's technology organization, you will be based in Pittsburgh, PA, Dallas, TX, Strongsville, OH,…
Added 13 mins ago
Software Engineer - AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
…opportunity to contribute to the company’s success. As a(n) Software Engineer - AI within PNC's technology organization, you will be based in Pittsburgh, PA, Dallas, TX, Strongsville, OH,…

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