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Remote Java Machine Learning Jobs in Ashburn, VA

Senior Staff Machine Learning Engineer

Bethesda, MD · Remote

$111K - $153K/yr

... Machine Learning Engineer to help shape how Generative AI enhances customer and associate ... Java, C++, Python, C#). * 10+ years architecting, designing, and building multi-component ML ...

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ... Strong proficiency in Python and Java * Experience developing RESTful APIs and ML inference ...

Software Engineering, Data Engineering, or Machine Learning. In this role, you will: * Collaborate ... Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and ...

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

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Remote Java Machine Learning information

See Ashburn, VA salary details

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$64

$88

How much do remote java machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote java machine learning in Ashburn, VA is $64.25, according to ZipRecruiter salary data. Most workers in this role earn between $56.30 and $71.78 per hour, depending on experience, location, and employer.

How does a Remote Java Machine Learning Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Java Machine Learning Engineer, you will regularly collaborate with data scientists, software engineers, and product managers through virtual meetings, shared project management tools, and code repositories. Clear communication and proactive documentation are essential to ensure alignment, especially when integrating machine learning models into Java-based applications. You may also participate in code reviews, sprint planning, and brainstorming sessions to refine features and troubleshoot issues. Building strong working relationships remotely often involves actively engaging in team channels and being responsive to feedback.

What are Remote Java Machine Learning jobs?

Remote Java Machine Learning jobs involve developing, deploying, and maintaining machine learning models and applications using the Java programming language, all while working from a remote location. Professionals in these roles typically build algorithms, process data, and integrate machine learning solutions into software systems. They collaborate with other developers and data scientists virtually, leveraging Java libraries such as Weka, Deeplearning4j, or MOA. These jobs are ideal for those who have strong Java skills and a background in machine learning, and who prefer the flexibility of working remotely.

What are the key skills and qualifications needed to thrive as a Remote Java Machine Learning Engineer, and why are they important?

To excel as a Remote Java Machine Learning Engineer, you need strong programming skills in Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or Weka), version control systems like Git, and cloud computing platforms is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are vital for building effective ML solutions, working independently, and ensuring seamless integration within distributed teams.
Distinguished Engineer (Remote - Eligible)

Distinguished Engineer (Remote - Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 5 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

66th of 141 rated banks


Job description

Distinguished Engineer (Remote - Eligible)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.

In this role, you will work with our Data Platform teams who bring data from across Capital One into a single view of customers, transactions, and investigations. These teams work with the biggest and most complicated data Capital One has, are responsible for performance, data quality, and integrity. The data sets power machine learning models and feed directly into regulatory filings.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

  • Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle

  • Decompose complex problems into practical and operational solutions

  • Ensure the quality of technical design and implementation

  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

  • Continue learning and injecting advanced technical knowledge into our community

  • Handle several projects simultaneously, balancing your time to maximize impact

  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Ensure Code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application

  • Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility

Capital One is open to hiring a Remote Employee for this opportunity.

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in Software engineering and solution architecture

  • At least 7 years of experience in Enterprise architecture and design patterns

  • At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)

  • At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures

Preferred Qualifications:
  • Bachelors' or Master's Degree in Computer Science or a related field

  • 10+ years of professional experience coding in commonly used languages like Java, Python, JavaScript/TypeScript

  • Deep understanding of the SDLC and systems design that accounts for highly reliable systems and highly maintainable systems

  • Experience leading teams to improve their testing and deployment processes, and experience enhancing data products to CI/CD standards

  • Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing)

  • Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing)

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.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer


Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


New York, NY: $293,600 - $335,100 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Engineer







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 theCapital 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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