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Machine Learning Remote Internship Jobs in Richmond, VA

Workiva

Spring 2027 Intern - Partnerships

Richmond, VA · On-site +1

$21/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

New

Workiva

Spring 2027 Intern - Partnerships

Richmond, VA · On-site +1

$21/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

New

Federal Reserve Bank of Richmond

Data Architect

Richmond, VA · On-site +1

$63 - $81.25/hr

Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Moderna

Intern, CMC Development (Summer 2027)

Richmond, VA · On-site +1

$20 - $60/hr

Summer Interns will have an opportunity to be part of high-performing project teams developing new ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

New

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Richmond, VA

Machine Learning Remote Internship information

See Richmond, VA salary details

$25.2K

$42.1K

$87.1K

How much do machine learning remote internship jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning remote internship in Richmond, VA is $42,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Richmond, VA?

For Machine Learning Remote Internship jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Remote Internship jobs in Richmond, VA look for?

The top searched job categories for Machine Learning Remote Internship jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Machine Learning Remote Internship jobs?

Cities near Richmond, VA with the most Machine Learning Remote Internship job openings:

Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Richmond, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,142 per year, or $20.3 per hour.

Sr. Staff Engineer - Global Payment Network (Remote Eligible)

Capital One

Richmond, VA • On-site, Remote

Full-time

Posted 20 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

88th of 174 rated banks

Job description

Sr. Staff Engineer - Global Payment Network (Remote Eligible)

As a Sr. Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of payments in the cloud.

You will work alongside a talented team of developers, machine learning experts, product managers, and people leaders using modern AI tools to deliver technical solutions to complex problems. Our Staff 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 modern 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 drive a culture of engineering excellence, and strike the right balance between lending expertise and helping the ideas of others to 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.

Staff Engineers are expected to lead through hands-on technical contribution. You will operate as a trusted advisor for key technologies, platforms and capability domains, creating clear and concise communications, code contributions, blog posts and root cause analysis 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 leveraged throughout the organization.

The Global Payment Network (GPN) Technology organization designs, builds, and operates the mission-critical systems and infrastructure that seamlessly power complex money movement across domestic and international rails. We build and operate a high-volume, low-latency, and highly resilient distributed ecosystem that is simultaneously secure, performant, accurate, and nimble.

As an engineer in the Global Payment Network, you will apply your technical acumen to shape and deliver solutions to complex problems at massive scale. You will engineer solutions across core network products, simplify global participant integration, and rapidly deliver new features. Leveraging automation and AI-native engineering, you will unlock real-time insights and advance our capabilities in domains ranging from high-throughput transaction processing to advanced fraud and risk mitigation.

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 across multiple domains and mission critical platforms, across engineering teams, product managers, and executive leadership

  • Proactively propose solutions to complex problems into practical and operational solutions that deliver functional requirements with high performance and reliability

  • Partner with executive leaders across business, product, and technology functions to set the direction for strategic investment and high-leverage technical decisions

  • Accelerate use of agentic AI to accelerate the delivery of modernized systems that power the future of our payment network, by deploying reusable patterns to scale AI across our engineering teams and high priority investments

  • Elevate quality of technical design and implementation across the engineering organization, proactively identifying and removing technical debt from systems and friction from customer customer experiences

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

  • Constantly learn and practice new technical skills, injecting advanced technical knowledge into our community and leading organizational adoption of AI-powered engineering

  • Handle multiple concurrent engagements, rapidly context shifting between detailed technical solutions and broad strategic engagement to accelerate value creation

  • Lead tech-driven innovation across engineers and executives, coaching organizations and mentoring individuals to elevate the technical acumen across engineering, business & product groups

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

Basic Qualifications:

  • Bachelor's Degree

  • At least 9 years of experience in software engineering

  • At least 7 years of experience designing distributed systems

  • At least 7 years of experience with public cloud technologies

Preferred Qualifications:

  • Bachelor's or Master's Degree in Computer Science or a related field.

  • 12+ years of experience in Software Engineering and Systems Design

  • 10+ years of professional experience coding in commonly used languages (e.g. Java, Python, Go, JavaScript/TypeScript, Swift, etc.)

  • 10+ years of professional experience in the full lifecycle of system development, from conception through design, implementation, testing, deployment and production operation

  • 7+ years of experience with systems meeting high performance and resiliency requirements

  • 8+ years of experience with public or private cloud technologies

  • Experience with payments, money movement, and related standards (e.g. PCI-DSS)

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion


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): $286,200 - $326,700 for Sr Distinguished Engineer


Chicago, IL: $286,200 - $326,700 for Sr Distinguished Engineer


Dallas, TX: $286,200 - $326,700 for Sr Distinguished Engineer


McLean, VA: $314,800 - $359,300 for Sr Distinguished Engineer


Richmond, VA: $286,200 - $326,700 for Sr Distinguished Engineer


Riverwoods, IL: $286,200 - $326,700 for Sr 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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