Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Systems Engineer
E-Infosol LLC
Chantilly, VA
…organization, we deliver Subject Matter Expertise (SME) in cloud computing, virtualization, cyber security, software development and data services. We support the Intelligence Community,…
Added 1 min ago
Parsing Engineer
E-Infosol LLC
Chantilly, VA
…organization, we deliver Subject Matter Expertise (SME) in cloud computing, virtualization, cyber security, software development and data services. We support the Intelligence Community,…
Added 2 mins ago
Software Engineer, Associate - Business Finance Technology
Blackstone Administrative Services Partnership
NJ
We're looking for a hands-on software engineer to help build the platforms that power finance and fund operations across Blackstone. You'll develop and support features within our…
Added 5 mins ago
Instructor, Computer Information Technology
San Jacinto
Houston, TX
…the remaining areas. That familiarity should include network infrastructure and protocols, operating systems and server administration, programming fundamentals, security operations and…
Added 9 mins ago
IT Systems and Support Engineer
Saint Joseph's College of Maine
Standish, ME
…technical operations, ensuring the stability, performance, and security of the College's IT infrastructure. You will be responsible for providing expert-level technical support to our…
Added 9 mins ago
A
Senior II Software Engineer
Akamai
Remote, United States
- $146,400 to $263,600 USD / year
Are you passionate about building high-throughput, low-latency REST APIs that power critical platform infrastructure?
Added 12 mins ago
S
Senior Software Engineer
SimpliSafe
Boston, MA
- $117,300 to $156,400 USD / year
We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares…
Added 12 mins ago
Site Reliability Engineer
Arrive Logistics
Austin, TX
Collaborate with others to architect and design production applications against critical challenges at the software and cloud infrastructure level.
Added 13 mins ago
Senior Engineer
Raft Company Website
Fort Bragg, NC
Apply DevSecOps practices end to end: CI/CD pipelines, container builds, infrastructure as code, secrets management, and RMF-relevant security controls that keep fielded deployments secure,…
Added 15 mins ago
Content Engineer
Aikido Security
Remote, United States
Experience with AI/ML tooling, developer tools, cloud infrastructure, or security.
Added 20 mins ago
Senior Manager, Engineering (Seattle or West Coast Preferred)
Docker
Remote, United States
The successful candidate is a hands-on engineer at heart. They have built secure software and scale-out cloud services, and they use that experience to guide their team to sound…
Added 21 mins ago
Quality Control Engineer, AWS Integrated Project Quality (IPQ)
Amazon Data Services, Inc.
Herndon, VA
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all…
Added 21 mins ago
Systems Development Engineer II, US Amazon Dedicated Cloud Security Engineering
Amazon.com Services LLC
Herndon, VA
AWS Security is looking for a driven Systems Development Engineer to build and maintain the automation that enables security assurance at scale. You will work among a larger team to…
Added 21 mins ago
DC Controls Engineer - Colo, AWS Controls Engineering
Amazon Data Services, Inc.
Dallas, TX
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all…
Added 25 mins ago
Sr. Manufacturing Engineer - Paint
Rivian
Normal, IL · Social Circle, GA
Added 29 mins ago
Data Engineer
PNC
Pittsburgh, PA · Birmingham, AL · Phoenix, AZ · Lakewood, CO · Strongsville, OH · Farmers Branch, TX
…opportunity to contribute to the company’s success. As a Data Engineer within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX,…
Added 29 mins ago
Alteryx Engineer
Stefanini Group
Richmond, VA
…operational intelligence capabilities across an integrated, cloud-based environment. The Alteryx Engineer is responsible for the full lifecycle of analytics automation and data integration…
Added 30 mins ago
Security Engineer
E-Infosol LLC
Chantilly, VA
E-INFOSOL LLC is seeking a motivated and results-driven Security Engineer to join our growing team in Chantilly, VA
Added 30 mins ago
M
Software Engineer, AI Developer Platform
Mirage
New York, NY
- $175,000 to $300,000 USD / year
- Hands-on experience with CI/CD, cloud infrastructure, or security, and the drive to go deep; specialists and product engineers ready to specialize are both welcome
Added 30 mins ago
Software Engineer 3
BHE
Reno, NV
Migrates or transforms legacy solutions to micro services/cloud native.
Added 30 mins ago
Software Engineer 3
BHE
Las Vegas, NV
Migrates or transforms legacy solutions to micro services/cloud native.
Added 30 mins ago
Senior Databricks Data Engineer
Securiport
Reston, VA
…analysis, certification, and compliance. The Senior Databricks Data Engineer will lead the design, development, and optimization of data pipelines and data platforms within a…
Added 36 mins ago
Azure Cloud Platform Engineer
Infosys
United States
Cloud infrastructure troubleshooting, RCA and performance optimization
Added 36 mins ago
Cyber Engineer – Endpoint Security (R0174787) - IRES (SSFB)
INNOVIM
Colorado Springs, CO
INNOVIM is seeking a Cyber Engineer – Endpoint Security to be part of our Missile Defense Division and directly supports the Missile Defense Agency (MDA).
Added 39 mins ago
A
AI Engineer
AJAIA
Remote, United States
- $12,500 USD / year
…integrations, and AI-driven workflows. You will also set up the infrastructure, deployments, and security those features need to run safely in…

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