Jobs in the United States

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Added 40 mins ago
Engineer - Project Controls
Lilly
Indianapolis, IN
The Advisor, Project Controls Engineer is the central steward for project controls functions within Global Facilities Delivery (GFD). This role ensures best-in-class practices in budgeting,…
Added 40 mins ago
Enterprise Applications Manager (AI & Platform Modernization)
Dentons US LLP
Indianapolis, IN
Dentons Bingham Greenebaum is currently seeking an Enterprise Applications Manager to be based in our Indianapolis, IN, Louisville, KY, or Cincinnati, OH office. The Enterprise Applications…
Added 1 hour ago
Consultant, Software Engineer (DevXP)
Nationwide Life and Annuity Insurance Co
OH
…Quality Engineering. We’re looking for a passionate software engineer who wants to apply AI-enabled development lifecycle (AI/DLC) practices to improve how teams understand requirements,…
Added 1 hour ago
Manhattan WMS Software Engineer
INSPYR Solutions
Lithia Springs, GA
Analyze application and database issues to improve system performance, reliability, and data integrity.
Added 1 hour ago
Electronic Warfare DevOps Engineer
Dynetics, Inc
Huntsville, AL
Leidos’ Defense Open Air Sensors Division is seeking an Electronic Warfare DevOps Engineer to join a diverse team to create unique solutions for complex sensor and radar orientated…
Added 2 hours ago
Lead Distributed Systems Engineer (AI/ML Platform) - Watertown, MA
Kelly Services
Watertown, MA
A fast-growing AI and data platform company is seeking a Lead Distributed Systems Engineer (AI/ML Platform) to architect and scale the infrastructure that powers enterprise AI and machine…
Added 2 hours ago
Principal Database Reliability Engineer
MathWorks
Natick, MA
As a Principal Database Reliability Engineer (DBRE), you will serve as the senior individual-contributor technical leader for the reliability and evolution of MathWorks' business-critical…
Added 2 hours ago
Assistant District Construction Engineer/Design-Build (Civil Engineer V)
State of Massachusetts
Taunton, MA
…projects; prepare and/or review reports, studies and analytical data: perform calculations relating to engineering problems: perform engineering surveys: inspect construction and or…
Added 2 hours ago
CIAM Full Stack Engineer
Manulife
Boston, MA
Exposure to Azure services such as App Services, Functions, API Management, Key Vault, Azure Monitor, or Application Insights.
Added 2 hours ago
USA Director, Application Development
Santander Holdings USA, Inc.
Quincy, MA
…technology planning with business clients and senior systems management; developing applications including middleware and legacy/mainframe systems using Java enterprise programming and Java…
Added 2 hours ago
SYSTEMS ENGINEER
City of New York
Brooklyn, NY
We are seeking two Systems Engineers to design, build, and maintain enterprise systems across our multi-cloud infrastructure, supporting 100+ applications and products. To meet our…
Added 3 hours ago
Senior Process Engineer
Leidos
Huntsville, AL
We are seeking a motivated, hands-on Senior Process Engineer to play a key role in the development, implementation, and ramp-up of a new, state-of-the-art electronics manufacturing…
Added 3 hours ago
Software Scrum Master (Agile SAFe)
Leidos
Huntsville, AL
…cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics,…
Added 3 hours ago
First Article Inspection Systems Engineer- Mid Level
Leidos
Huntsville, AL
…cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics,…
Added 3 hours ago
Process Engineer
Leidos
Huntsville, AL
We are seeking a motivated, hands-on Process Engineer to support in the development, implementation, and ramp-up of a new, state-of-the-art electronics manufacturing facility. This position…
Added 3 hours ago
Sr. Systems Engineer - AI Gateway Platform(Remote)
CrowdStrike
Jefferson City, MO
This role is focused on enabling the internal platform plumbing, traffic management, and infrastructure that connect AI workloads-including Model Context Protocol (MCP) servers, agent…
Added 3 hours ago
Vice President, Cloud Platform Engineer
SitusAMC
Jefferson City, MO
…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
Added 3 hours ago
AI Engineer
Ford Motor Company
Dearborn, MI
We're looking for an AI Engineer to own this system end to end: design, develop, test, and deploy the graph layer to Production on a Google Cloud Platform–native stack , and build the…
Added 3 hours ago
Systems Architect, Staff Principal
Kratos Defense & Security Solutions, Inc.
Colorado Springs, CO
Experience in systems engineering for large-scale, enterprise space systems, touching on at least two of the following areas: C2 Ground System, SV Bus Development, Payload Development,…
Added 4 hours ago
Product Development Engineer II, Label Solutions
Avery Dennison
Miamisburg, OH
…solutions development. We are seeking a Product Development Engineer II, Label Solutions who will model passion and determination to a new product innovation organization, participate in…
Added 4 hours ago
Principal/Sr Principal Software Engineer Guidance Navigation Control (GNC)
Northrop Grumman
Beavercreek, OH
We are looking for you to join our team as a Principal or Senior Principal Software Engineer - Guidance Navigation Control (GNC) based out of Beavercreek, OH . As a Software Engineer at…
Added 4 hours ago
Software Engineer Senior Manager - Cross Channel Banker Platform
Wells Fargo
COLUMBUS, OH
…technology strategy and next-generation architecture, including application modernization, cloud readiness, APIs, data, security, resiliency, and…
Added 4 hours ago
Network Engineer IV - Headquarters Network
Edward Jones
Saint Louis, MO
The HQ Network team is responsible for the design, implementation, lifecycle management, and operational support of Edward Jones' critical network infrastructure. Our team provides highly…
Added 5 hours ago
Associate Software Engineer
Highmark Health
Jefferson City, MO
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
Added 5 hours ago
CT
Professional Services Engineer – Full-time – Work from Home in the US
Crawford Technologies
Remote, United States
- $130,000 to $150,000 USD / year
- Full-time
Minimum of 10 plus years’ experience in a similar position within Enterprise Software or Content Management marketplace

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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