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Added 2 mins ago
Senior Performance Test Automation Engineer
Sparq Holdings, Inc.
Remote, United States
Develop and implement ramped load, capacity, and spike testing scenarios to evaluate application performance under varying traffic conditions, including peak seasonal demand.
Added 2 mins ago
Senior Azure DevOps Engineer
Sparq Holdings, Inc.
Remote, United States
Hunger for continuous learning and professional development
Added 2 mins ago
Data Engineer, Vice President
Sumitomo Mitsui Banking Corporation
Charlotte, NC
The Lead Data Engineer will be responsible for developing scalable data platforms on Databricks that support end-to-end data sourcing, CCAR model Development, model execution, data…
Added 3 mins ago
Senior Azure Cloud Integration Engineer
LEIDOS, INC.
Rockville, MD
We are seeking a Senior Cloud Integration Engineer with deep Azure expertise to integrate cloud services across Azure and Microsoft 365 GCC environments, enabling secure, scalable, and…
Added 5 mins ago
Full-Stack AI Engineer (Agentic Solutions) | Remote | USC Only.
Xlysi
Remote, United States
Strong full-stack engineering in Python and/or C#/.NET, plus API and integration development.
Added 6 mins ago
IG
Saviynt Platform Engineer
Insight Global
San Antonio, TX
- $100,000 to $120,000 USD / year
Insight Global is seeking a Saviynt Platform Engineer for a top enterprise client. This individual will take hands-on ownership of the configuration, development, administration, and…
Added 9 mins ago
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Azure Platform Engineer
Bright Vision Technologies
Remote, United States
- $133,000 to $158,000 USD / year
We are seeking a skilled Azure Platform Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the…
Added 9 mins ago
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Platform Infrastructure Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
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Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
…calculated fields, business process design, and Workday Extend application development. The role spans technical configuration, custom report design, integration support, and lightweight…
Added 9 mins ago
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AI Interaction Designer
Bright Vision Technologies
Remote, United States
- $140,000 to $155,000 USD / year
We are looking for a AI Interaction Engineer to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across…
Added 9 mins ago
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AI Risk Engineer
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- $100,000 to $150,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
Added 9 mins ago
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Golang Developer
Bright Vision Technologies
Monroe Township, NJ
- $100,000 to $130,000 USD / year
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Added 10 mins ago
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AWS Platform Specialist
Bright Vision Technologies
Remote, United States
- $135,000 to $150,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
Added 10 mins ago
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Coupa Technical Specialist
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
Added 11 mins ago
Software Dev Engineer, AWS CX - Cloudscape
Amazon
East Palo Alto, CA
We are looking for a Software Development Engineer to join the AWS Cloudscape team and work on the new initiative to develop intent based UX at scale especially for AWS Management Console…
Added 11 mins ago
Software Dev Engineer, AWS CX - Cloudscape
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Software Systems Engineer
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- $50 to $90 USD / hour
Systems Engineering & Requirements Management Experience with requirements development/flow-down, interface analysis, specification derivation, interface control documentation, and systems…
Added 11 mins ago
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2027 Software Engineer Intern - Azusa CA
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- $21.5 to $41 USD / hour
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Added 11 mins ago
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Added 12 mins ago
Sales Rep, Peripheral Nervous System (PNS) – Palm Springs/Inland Empire, CA
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We anticipate the application window for this opening will close on - 6 Nov 2026
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Added 13 mins ago
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Software Engineer II (GenAI)
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The role focuses on hands on GenAI application engineering, including Python development, retrieval and grounding workflows, prompt design, conversational AI support, and backend service…
Added 13 mins ago
Data Engineer, Ring Agent Platforms
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Hawthorne, CA
We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will…
Added 13 mins ago
Full Stack Software Engineer, Google Photos
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5 years of experience with android application development.

Capital One

Machine Learning Engineer 5 (IC)

New York, NY, United States

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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

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.

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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