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Added 1 min ago
SI
Principal Member of Technical Staff (PMTS) / Staff Software Engineer – AI Platform (Agentic Systems)
Salesforce, Inc.
CA · WA
- $197,300 to $344,700 USD / year
As a Principal Member of Technical Staff (PMTS) / Staff Software Engineer on the Agentic Operations team, you will set the technical direction and architecture for how Slack builds,…
Added 1 min ago
Senior AI Polyglot Engineer
Mitsui Sumitomo Marine Management (USA), Inc.
Warren, NJ
We are seeking a Senior AI Polyglot Engineer to join a product domain team within our Commercial Property & Casualty (P&C) insurance business, supporting areas such as Underwriting, Claims,…
Added 1 min ago
TT
Senior Software Engineer, Core Systems
True Talent Solutions Partners
San Francisco, CA
- $215,000 to $275,000 USD / year
- Build CI/CD and deployment automation to help the team ship safely and efficiently.
Added 1 min ago
TT
Senior/Staff Software Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $270,000 USD / year
Join the platform engineering team at an AI-powered finance automation company. You will build foundational systems used across the product, helping engineering teams deliver reliable…
Added 1 min ago
TT
Forward Deployed Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
- Build monitoring, telemetry, and automation that turn one-off deployment work into reusable patterns.
Added 2 mins ago
Test & Analytics Engineer
Stord, Inc.
Atlanta, GA
As a Test & Analytics Engineer, you will design experimental frameworks, execute structured tests in live operational environments, and develop analyses that directly inform which…
Added 2 mins ago
GI
Senior Software Engineer, Compute Platform
GitHub, Inc.
United States
- $127,800 to $339,000 USD / year
As a Senior Software Engineer on Compute Platform, you will work with a distributed team to contribute to the technical direction of a Kubernetes platform that hundreds of internal teams…
Added 3 mins ago
Application Engineer Specialist
SKF
Blue Bell, PA, PA
The Application Engineer at SKF is tasked with working closely with a team of engineers to understand and select SKF product solutions (bearings, seals, lubrication, condition monitoring,…
Added 3 mins ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
Pittsburgh, PA
We are seeking a Vice President – Full Stack Engineer to join a mission-critical engineering team supporting a high-performance, regulated enterprise platform. This is a hands-on…
Added 3 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
ewminds consulting Services
Jersey City, NJ
(SVP) Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer)
Added 3 mins ago
Software AI Engineer
neurohire.ai
Remote, United States
NeuroHire is seeking a motivated and technically talented Software AI Engineer to join our team. In this role, you will contribute to designing, developing, and integrating AI-powered…
Added 3 mins ago
Site Reliability Engineer
neurohire.ai
Remote, United States
NeuroHire is seeking a motivated and technically curious Site Reliability Engineer (SRE) to join our team. In this role, you will help maintain the reliability, availability, performance,…
Added 3 mins ago
Electrical Engineer - MSVD Coating Process
Vitro Flat Glass
Carlisle, PA
Are you an Electrical Engineer who enjoys solving complex manufacturing challenges and driving process improvements? Vitro Architectural Glass is seeking an Electrical Engineer - MSVD…
Added 3 mins ago
Senior Staff AI / ML Solutions Engineer
PPD Development, LP
Morrisville, NC
We have a new opening within the Clinical Research Group (CRG) of Thermo Fisher for a Senior Staff AI/ML Solutions Engineer to support the Finance organization and serve as the hands-on…
Added 4 mins ago
Machine Learning Engineer
Central Insurance Company
Dublin, OH · Van Wert, OH · Alpharetta, GA · Irving, TX · Waltham, MA
As a Machine Learning Engineer, you will be instrumental by partnering with actuaries, data scientists, software engineers, and business stakeholders to design and deploy machine learning…
Added 4 mins ago
Senior Software Engineer (L4)
Exiger
McLean, VA · Richmond, VA · San Francisco, CA · NY
Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to…
Added 4 mins ago
HIL Test Engineer
Mill
San Bruno, CA
We're looking for a Hardware-in-the-Loop (HIL) Test Engineer to own the test station for Mill Commercial's program including hardware, sensor and actuator emulation, and plant models:…
Added 4 mins ago
Sr. IAM Engineer | Remote, USA
Optiv Security Inc.
Remote, United States
Optiv is seeking a Sr. IAM Engineer to join Optiv Security’s 24x7x365 Security Operations Center as a member of the Advanced Fusion Center (AFC) team. The Optiv AFC line of business…
Added 4 mins ago
Senior Manufacturing Engineer
Band-It-IDEX, Inc.
Denver, CO
Electrical Background: Experience with automation, industrial controllers, and controller programming, preferred.
Added 5 mins ago
H
R&D Writing System Engineer
HP
Corvallis, OR
- $93,400 to $143,800 USD / year
…HP’s industry leading print businesses. This Specialist-level engineer primarily supports the PageWide Industrial (PWI) business by leading R&D development and integration of ink and…
Added 6 mins ago
NS
Senior Infrastructure Engineer (Platform)
Northwood Space
Los Angeles, CA, CA
- $145,000 to $190,000 USD / year
…site, and the IaC that defines all of it. The Infrastructure Engineer – Cloud owns and operates that…
Added 7 mins ago
SENIOR NETWORK SECURITY ENGINEER-(REMOTE)
Compass Group
GA
The Sr. Network Security Engineer is responsible for the design, deployment, and support of the organization’s secure network access and zero trust architecture across cloud and on-premises…
Added 7 mins ago
Manager, Software Development Engineer
Equinix LLC
United States
Equinix is looking for a Manager, Software Engineer to lead the team that builds and supports our channel and partner systems. The platforms include Salesforce Partner Relationship…
Added 7 mins ago
Network Engineer with Secret Clearance
CALNET Inc.
Washington, D.C., DC
…Washington DC, we are currently searching for a talented Network Engineer with Secret Clearance to work in Washington…
Added 7 mins ago
C-
SCADA Engineer/Developer- ROC
CAMS - Texas
Houston, TX
- $110,000 to $140,000 USD / year
CAMS is seeking a skilled SCADA Engineer to support its utility scale renewable generation Remote Operations Cener (ROC). This full-time role is responsible for designing, implementing,…

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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