Jobs in the United States

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Added 1 min ago
SO
Principal Developer - OIT Internal Recruitment (Remote From Anywhere In CO)
State of Colorado
CO
- $122,000 to $137,000 USD / year
Engineer Full-Stack Solutions: Develop and deliver end-to-end software solutions across user interfaces, server-side services, and data persistence layers while authoring automated tests,…
Added 1 min ago
Mid Level DevSecOps Engineer
BAE Systems
Sterling, VA
Job Description BAE Systems is looking for a Software Engineer/ DevSecOps to join our visible technical program driving the Model Based Systems Engineering (MBSE) cloud platform that…
Added 5 mins ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, and cloud platforms such as AWS or GCP.
Added 7 mins ago
Senior Engineer - Data Engineering
Toyota
Plano, TX
Designing, developing, and maintaining scalable data pipelines using Python, Databricks, and Apache Airflow / AWS Step Functions.
Added 7 mins ago
Principal Engineer II - Data Engineering
Toyota
Plano, TX
Toyota's Digital Innovations group within TMNA's Supply Chain organization is seeking a highly experienced Principal Engineer II, Data Engineering to lead the technical strategy and…
Added 9 mins ago
Forward Deployed Engineer
ResolveAI
New York, NY
…by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues…
Added 17 mins ago
Senior Data Engineer (GenAI / AWS) | Claude Agent SDK | Amazon Bedrock | Python | 14+ years of experience
TMS LLC
Remote, United States
Experience: 14+ years Cloud Platform: AWS Primary Language: Python
Added 19 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Baton Rouge, LA
Professional security certifications (CISSP, GIAC, OSCP, AWS Security Specialty, Azure Security Engineer, or similar); multi-cloud experience across AWS, Azure, and GCP
Added 30 mins ago
AI Security Engineer
Fisher & Phillips LLP
Atlanta, GA
Fisher Phillips, a premier international labor and employment law firm is seeking an experienced AI Security Engineer to design, implement, and continuously improve security controls for…
Added 30 mins ago
AI Engineer
SAIC
College Park, MD
We are seeking a Senior AI Engineer to design, develop, and deploy IRIS, an AI agent supporting the HFDP Data Integration project. IRIS will help users discover, connect, and understand…
Added 30 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Annapolis, MD
Professional security certifications (CISSP, GIAC, OSCP, AWS Security Specialty, Azure Security Engineer, or similar); multi-cloud experience across AWS, Azure, and GCP
Added 31 mins ago
C
Security Engineer
Credo
United States
- $90,000 to $110,000 USD / year
Certifications such as Security+, CySA+, GCIH, GCIA, AWS Security Specialty, Azure Security Engineer, Google Cloud Security Engineer, or CISSP/Associate of ISC2.
Added 35 mins ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $165,000 to $185,000 USD / year
- Strong backend engineering skills in Python, with experience building production software at platform scale; familiarity with TypeScript, React, and AWS.
Added 37 mins ago
Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
Prologis Management LLC
Denver, CO
Design, operate, and troubleshoot AWS and Azure infrastructure using infrastructure-as-code, serverless, event-driven, and cloud-native architectures.
Added 38 mins ago
RH
Full Stack Software Engineer
Robert Half
Monroe, NY
- $130,000 to $170,000 USD / year
We’re seeking an experienced Full Stack Software Engineer to design, develop, test, and maintain scalable web applications across front-end and back-end environments.
Added 38 mins ago
Principal Engineer - Java Full Stack
Wells Fargo Bank, N. A.
IRVING, TX · ISELIN, NJ
Wells Fargo is seeking a Principal Engineer as part of the Commercial and Corporate & Investment Banking Technology (CCIBT) team to support Payment Solutions, Capital Markets Services,…
Added 49 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Des Moines, IA
Professional security certifications (CISSP, GIAC, OSCP, AWS Security Specialty, Azure Security Engineer, or similar); multi-cloud experience across AWS, Azure, and GCP
Added 50 mins ago
AI ML Engineer 6564206
Accenture Flex LLC Company
Dallas, TX
Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization use cases
Added 53 mins ago
VD
Senior AI/ML Engineer - AI Live Operations
Verizon Data Services LLC
Basking Ridge, NJ
- $111,500 to $194,000 USD / year
Advanced programming expertise in Python, Java, or C++, with a strong grasp of data structures and cloud systems such as AWS, Google Cloud, or Azure.
Added 54 mins ago
Global Cloud Migration Developer
AGFA
Home based, HI
We’re looking for a Software Development Engineer – AI Test Automation & Cloud Migration to help us build exactly that capability, applying software engineering, intelligent test…
Added 1 hour ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
Cupertino, CA
As a Software Engineer II - AI/ML, you will design and implement business-critical features and own the performance of models on AWS Trainium end to end. We operate in spaces that are very…
Added 1 hour ago
Sr Software Engineer
Cengage Learning Inc.
OH
Develop, update and optimize data transformation and delivery scripts, using Python and AI tools (such as Codex)
Added 1 hour ago
AI Engineer
ServiceTitan, Inc.
Remote, United States
Strong hands-on coding ability in Python (strongly preferred) or a comparable backend language such as TypeScript, C# or Java, with clean, tested code.
Added 1 hour ago
Staff Technical Marketing Engineer
Infoblox
Tacoma, WA · Atlanta, GA · Sacramento, CA · Albany, NY
We have an opportunity for a Staff Technical Marketing Engineer to join our Technical Marketing team, based anywhere in the U.S., reporting to the Senior Manager of Technical Marketing. In…
Added 1 hour ago
TS
AI/ML Engineer
Triunity Software
San Francisco, CA
- $100,000 to $110,000 USD / year
Triunity Software is looking for a talented and driven AI/ML Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work on cutting-edge artificial…

Closed listing

Capital One

Machine Learning Engineer 5 (IC)

McLean, VA, United States

This opening has closed.

The original listing is kept below for reference.

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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: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

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

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

New York, NY: $250,800 - $286,200 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).

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