Jobs in the United States

25+ jobs

Save this search

Added just now
T-Ads Engineer, Software Full Stack
T-Mobile USA, Inc.
Bellevue, WA
Added just now
TP
Sr. Epicor Kinetic Consultant
The Planet Group
Wisconsin, WI
- Up to $125 USD / hour
Strong manufacturing experience, specifically within engineer-to-order (ETO) and configure-to-order (CTO) environments.
Added just now
Senior ML Engineer
Relae
Remote, United States
Relae is seeking an AI/ML Engineer for our Power, Data and Innovation team. This role will be responsible for designing, building, training, and maintaining machine learning models for…
Added just now
Full-stack Software Engineer
Altamira Technologies Corp.
Fairborn, OH
Altamira is seeking a Full-stack Software Engineer to help our National Space Intelligence Center (NSIC) customer. The engineer will sit full-time on Wright Patterson Airforce Base at the…
Added 1 min ago
TU
Summer 2027 Software Engineer HR Data Products Internship
T-Mobile USA, Inc.
Bellevue, WA
- $27 to $50 USD / hour
Added 1 min ago
TU
Summer 2027 Software Engineer HR Data Products Internship
T-Mobile USA, Inc.
Bellevue, WA
- $27 to $50 USD / hour
Added 1 min ago
Senior Mechanical Engineer
Momentus Space LLC
San Jose, CA
The Senior Mechanical Engineer will participate in the mechanical, structural, and thermal design of flight spacecraft and will follow programs through execution of assembly, integration,…
Added 1 min ago
AI Ops Engineer (GTM) - Mid Level
Orbital
New York City, NY
As an AI Ops Engineer (GTM) on our Revenue team, you'll sit with the people doing the work across Sales, Marketing, Customer Success, Product and Finance. You'll question how we work today,…
Added 1 min ago
Applied Data Scientist
Upperline Health
Nashville, TN
2-5+ years of experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or related role, with at least one model in production and a focus on building and maintaining…
Added 1 min ago
AI Ops Engineer (GTM)
Orbital
New York City, NY
As an AI Ops Engineer (GTM) on our Revenue team, you'll sit with the people doing the work across Sales, Marketing, Customer Success, Product and Finance. You'll question how we work today,…
Added 1 min ago
Electronic Application Engineer
TNA Toyota Motor Engineering & Manufacturing North America, Inc. Company
Saline, MI
…for a passionate and highly motivated Electronic Application Engineer who is excited to develop vehicle-specific electronic components and contribute to innovative customer…
Added 1 min ago
Data Center Commissioning Authority
Tetra Tech, Inc
Portland, OR
Professional Engineer license or certifications in energy management, testing and balancing, or a related discipline.
Added 1 min ago
Data Center Commissioning Authority
Tetra Tech, Inc
Folsom, CA
Professional Engineer license or certifications in energy management, testing and balancing, or a related discipline.
Added 1 min ago
Data Center Commissioning Authority
Tetra Tech, Inc
Los Angeles, CA
Professional Engineer license or certifications in energy management, testing and balancing, or a related discipline.
Added 1 min ago
Data Center Commissioning Authority
Tetra Tech, Inc
Seattle, WA
Professional Engineer license or certifications in energy management, testing and balancing, or a related discipline.
Added 1 min ago
Hardware R&D Test Engineer
Emtech
Seattle, WA
Added 1 min ago
Staff ASIC Design Engineer
Nokia
United States
Nokia is seeking a Senior/Staff High-Speed Analog IC Design R&D Engineer to create innovative products in a fast-paced and collaborative team environment. The engineer will be hands-on with…
Added 2 mins ago
Lead, Electromechanical Actuation System Design Engineer
L3Harris Technologies
Sacramento, CA · Huntsville, AL · Canoga Park, CA
Added 2 mins ago
Associate, Structural Engineer
L3Harris Technologies
Huntsville, AL
Added 2 mins ago
A
Senior Software Engineer
Akamai
Remote, United States
- $121,400 to $218,600 USD / year
As a Software Engineer Senior, you will be responsible for:
Added 2 mins ago
IG
Sr. Product Safety Engineer
Insight Global
Santa Clara, CA
- $130,000 to $147,000 USD / year
Looking for Senior Product Safety Engineer that has working knowledge within (IEC 60335-1 & IEC 62368-1). The engineer should be senior enough to demonstrate working knowledge within the…
Added 2 mins ago
Automation & Validation Engineer
Insight Global
Tampa, FL
…tube-filling line in Tampa and needs an automation & validation engineer for roughly 6 months, through April 2027. The line has already gone through SAT and now needs troubleshooting,…
Added 2 mins ago
IG
CUCM Engineer
Insight Global
Remote, United States
- From $20 USD / hour
We are seeking a skilled CUCM Engineer with strong experience supporting and administering Cisco Unified Communications Manager environments and hands-on scripting experience in Python.…
Added 2 mins ago
Logistics Engineer
Manassas, VA
Leaseweb USA, Inc. is seeking a Data Center Logistics Engineer in Manassas, Virginia.
Added 2 mins ago
Data Center Operations Engineer
Los Angeles, CA
Data Center Operations Engineer - Los Angeles

Capital One

Machine Learning Engineer 5 (IC)

New York, NY, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
Posting language: English
Posted: Nov 3, 2026

Original job description

Machine Learning Engineer 5 (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.

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
Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale
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 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 4 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 ML software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
5+ years of experience optimizing ML algorithms, configurations, and infrastructure
5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans
5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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: $229,900 - $262,400 for Machine Learning Engineer 5

New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5

Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5

San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5

San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5

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 (https://www.capitalonecareers.com/benefits) . 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

More about this job

Skills

Machine learning
Data engineering
ML
Collaboration
CI/CD
Test automation
Programming languages
Python
Scala
Oracle Java
Computer science
Statistics
Research
Google Analytics
Go
C++
PyTorch
TensorFlow
NumPy
Scikit-learn
AWS
Google Cloud
Microsoft Azure
Kubernetes
Electrical engineering
Software development
Incident response
Presentation skills
Technical support
Recruitment

Report this job