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Remote Machine Learning Robotics Jobs in Washington, DC

System One

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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 ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Meso Scale Discovery

Software Engineer

Gaithersburg, MD · On-site +1

$78K - $116K/yr

Coursework or hands-on experience in image processing, machine learning, or robotics strongly preferred. * Experience with OpenCV, TensorFlow, or similar ML/vision frameworks is highly desirable.

Amat

Global Trade Analyst

Washington, DC · On-site +1

$92K - $126K/yr

... Machine Learning & AI), Data Science & Predictive Analytics, RPA tools, and enterprise data platforms. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% ...

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All JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Washington, DC

Remote Machine Learning Robotics information

See Washington, DC salary details

$36.8K

$72.2K

$112.7K

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

As of Jun 28, 2026, the average yearly pay for remote machine learning robotics in Washington, DC is $72,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $84,900.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Washington, DC? For Remote Machine Learning Robotics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Washington, DC look for? The top searched job categories for Remote Machine Learning Robotics jobs in Washington, DC are:
Remote Machine Learning Robotics jobs near you
Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Posted 3 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is building a multidisciplinary advanced analytics team supporting federal fraud detection and investigative missions. We are seeking experienced Data Scientists with expertise in one or more advanced analytical disciplines, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), large language models (LLMs), graph analytics, and relationship discovery.
These positions will help design and implement next-generation analytical capabilities that identify hidden fraud patterns, uncover complex relationships, analyze unstructured information, and transform large, diverse datasets into actionable intelligence for investigators and oversight organizations.
The ideal candidate is a hands-on technical specialist who enjoys applying emerging analytical technologies to solve complex fraud, financial crime, and investigative challenges.
Key Responsibilities
  • Design, develop, validate, and optimize advanced analytical models supporting fraud detection and investigative missions.
  • Apply machine learning, artificial intelligence, natural language processing, graph analytics, and statistical modeling techniques to identify fraud patterns and emerging risks.
  • Analyze structured, semi-structured, and unstructured data from multiplegovernment and commercial sources.
  • Develop scalable analytical workflows using cloud-native technologies and open-source data science frameworks.
  • Collaborate with Graph Data Scientists, Data Engineers, Investigative Analysts, and Technical Analytics Managers to develop integrated analytical solutions.
  • Document analytical methodologies, model performance, validation results, and technical recommendations.
  • Support Agile software development through sprint planning, demonstrations, peer reviews, and iterative solution development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience developing advanced analytical or machine learning solutions.
  • Strong Python and SQL programming experience.
  • Experience developing, testing, validating, and improving analytical or machine learning models.
  • Experience working with cloud analytics environments.
  • Excellent analytical, written, and verbal communication skills.

Desired Experience
We are seeking candidates with demonstrated expertise in one or more of the following advanced analytics areas:
  • Artificial Intelligence & Machine Learning: Developing, validating, deploying, and optimizing machine learning and AI models using modern frameworks and best practices for predictive analytics, classification, clustering, and model evaluation.
  • Natural Language Processing (NLP) & Large Language Models (LLMs): Applying NLP, LLMs, Retrieval-Augmented Generation (RAG), semantic search, information extraction, document intelligence, and other techniques to analyze and derive insights from unstructured text.
  • Graph Analytics & Relationship Discovery: Leveraging graph databases, knowledge graphs, link analysis, network analytics, entity resolution, and relationship discovery tools (e.g., Neo4j, Cypher, i2 Analyst's Notebook) to identify hidden patterns and complex fraud networks.
  • Cloud-Native Analytics: Developing analytical solutions within modern cloud and Lakehouse environments using platforms such as Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, SQL Server, Power BI, Git, or comparable technologies.
  • Fraud Analytics & Investigative Support: Applying advanced analytics to fraud detection, financial crimes, program integrity, federal benefit programs, grants, loans, emergency relief, or other government oversight and investigative missions.

What We're Looking For
We're looking for technically curious data scientists who enjoy exploring emerging technologies and applying them to real-world investigative challenges. Whether your expertise lies in machine learning, large language models, graph analytics, relationship discovery, or advanced AI techniques, you'll help build innovative analytical capabilities that strengthen government oversight, accelerate fraud detection, and support investigators in protecting the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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