Machine Learning Scientist Jobs in Virginia
Machine Learning Scientist jobs in Virginia are open across McLean, Arlington, and Richmond and other Virginia metros, with employers like Capital One, Amazon, and Jobot hiring at every experience level. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 26+ Machine Learning Scientist jobs
DESCRIPTION
RISC's vision is to make Amazon Earth’s most trusted shopping destination for safe and compliant products. We do this by protecting customers from products that are unsafe, illegal, illegally marketed, controversial or otherwise in violation of Amazon's policies while enabling our Selling Partners (SPs) to offer their broadest selection of safe and compliant products.
We are seeking an exceptional Applied Scientist to join a team of experts in the field of agentic AI, GenAI, Machine Learning, Software Engineers, and work together to tackle challenging problems across diverse compliance domains. We leverage and train state-of-the-art large-language-models (LLMs), multi-modal model, mixed with elegant harness engineering and SKILL building to 1) detect illegal and unsafe products across the Amazon catalog; 2) automation safety and compliance content authoring; 3) reasoning over enforcement action to provide actionable insights to Amazon sellers. We work on machine learning problems for content generation, multi-modal classification, global product taxonomy, intent detection, information retrieval, anomaly and fraud detection, agentic AI, generative AI and multi-agent system.
This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text, unstructured and tabular data. You will work on challenging science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas.
Key job responsibilities
- Design and evaluate state-of-the-art algorithms and approaches in content generation, multi-modal classification, global product taxonomy, intent detection, information retrieval, anomaly and fraud detection, agentic AI, generative AI and multi-agent system.
- Translate product and CX requirements into measurable science problems and metrics.
- Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact.
- Key author in writing high quality scientific papers in internal and external peer-reviewed conferences.
A day in the life
- Understanding customer problems, project timelines, and team/project mechanisms.
- Proposing science formulations and brainstorming ideas with team to solve business problems.
- Writing code, and running experiments with re-usable science libraries.
- Reviewing labels and audit results with investigators and operations associates.
- Sharing science results with science, product and tech partners and customers.
- Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team.
- Contributing to team retrospectives for continuous improvements.
- Driving science research collaborations and attending study groups with scientists across Amazon.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience building machine learning models or developing algorithms for business application.
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
PREFERRED QUALIFICATIONS
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects).
- Experience in professional software development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
RISC's vision is to make Amazon Earth’s most trusted shopping destination for safe and compliant products. We do this by protecting customers from products that are unsafe, illegal, illegally marketed, controversial or otherwise in violation of Amazon's policies while enabling our Selling Partners (SPs) to offer their broadest selection of safe and compliant products.
We are seeking an exceptional Applied Scientist to join a team of experts in the field of agentic AI, GenAI, Machine Learning, Software Engineers, and work together to tackle challenging problems across diverse compliance domains. We leverage and train state-of-the-art large-language-models (LLMs), multi-modal model, mixed with elegant harness engineering and SKILL building to 1) detect illegal and unsafe products across the Amazon catalog; 2) automation safety and compliance content authoring; 3) reasoning over enforcement action to provide actionable insights to Amazon sellers. We work on machine learning problems for content generation, multi-modal classification, global product taxonomy, intent detection, information retrieval, anomaly and fraud detection, agentic AI, generative AI and multi-agent system.
This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text, unstructured and tabular data. You will work on challenging science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas.
Key job responsibilities
- Design and evaluate state-of-the-art algorithms and approaches in content generation, multi-modal classification, global product taxonomy, intent detection, information retrieval, anomaly and fraud detection, agentic AI, generative AI and multi-agent system.
- Translate product and CX requirements into measurable science problems and metrics.
- Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact.
- Key author in writing high quality scientific papers in internal and external peer-reviewed conferences.
A day in the life
- Understanding customer problems, project timelines, and team/project mechanisms.
- Proposing science formulations and brainstorming ideas with team to solve business problems.
- Writing code, and running experiments with re-usable science libraries.
- Reviewing labels and audit results with investigators and operations associates.
- Sharing science results with science, product and tech partners and customers.
- Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team.
- Contributing to team retrospectives for continuous improvements.
- Driving science research collaborations and attending study groups with scientists across Amazon.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience building machine learning models or developing algorithms for business application.
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
PREFERRED QUALIFICATIONS
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects).
- Experience in professional software development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
See All 26 Machine Learning Scientist Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find JobsMachine Learning Scientist Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Machine Learning Scientist Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One19
- Amazon3
- Jobot1
- Salesforce1
- Thomson Reuters1
Top Industries Hiring
- Banking & Financial Services13
- Fintech6
- Technology & Software2
- Education1
- Staffing & Recruiting1
What Virginia Employers Look For
The qualifications that appear most often in machine learning scientist jobs across Virginia.
- PhD or MS in computer science, statistics, or a closely related quantitative field
- Proficiency in Python with deep experience in PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Familiarity with cloud ML infrastructure such as AWS SageMaker, GCP Vertex AI, or Azure ML
- Strong publication record or demonstrated applied research output
- Experience with distributed training, model optimization, or MLOps pipelines
Machine Learning Scientist Jobs in Virginia: Frequently Asked Questions
How many machine learning scientist jobs are there in Virginia?
There are 26+ machine learning scientist openings in Virginia on Migrate Mate as of June 2026, with the most roles in McLean, Arlington, and Richmond. New positions post regularly as employers across Virginia hire.
How much do machine learning scientists make in Virginia?
Machine learning scientists in Virginia earn a median of about $126,430 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,420 for the lowest 10% to over $207,890 for the top 10%. Pay rises with experience, specialty, and employer.
Which Virginia cities have the most machine learning scientist jobs?
McLean, Arlington, and Richmond have the most machine learning scientist openings in Virginia right now, with additional roles spread across smaller metros statewide.
Which companies hire machine learning scientists in Virginia?
Employers hiring machine learning scientists in Virginia include Capital One, Amazon, and Jobot, based on current listings on Migrate Mate as of June 2026.
Are there remote machine learning scientist jobs in Virginia?
Yes. About 12% of machine learning scientist openings tied to Virginia are remote or hybrid as of June 2026. The rest are on-site roles based in Virginia metros.
How do I apply for machine learning scientist jobs in Virginia?
You can apply to machine learning scientist jobs in Virginia directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Virginia location, then apply to each one that fits.
See All 26 Machine Learning Scientist Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Jobs