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Remote Machine Learning Robotics Jobs in Washington, DC

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site +1

$160K - $200K/yr

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_HYBRID Description We are seeking to build a team of AI/ML ...

New

SAIC

AI Machine Learning Technical Project Manager

Reston, VA · On-site +1

$160K - $200K/yr

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_HYBRID Description We are seeking an experienced and mission ...

New

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All JobsMachine Learning Robotics 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 Sep 6, 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 are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

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.

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 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.

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

AI Machine Learning Developer Principal

SAIC

Arlington, VA • On-site, Remote

$160K - $200K/yr

Full-time

Posted 2 days ago

New

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description

Job ID: 2616563-OTHLOC-100000685975237

Location: Arlington, VA, US

Date Posted: 2026-09-04

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.

This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or NOVA. Candidates must have an active TS/SCI clearance. 

1. Rapid PoC & Demo Prototyping (40%)

  • Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
  • Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)

  • Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
  • Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)

  • Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
  • Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)

  • Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master’s degree with 7 years of relevant experience.
  • Candidates must be U.S. Citizens
  • Clearance: Active TS/SCI (or ability to immediately upgrade from TS if SCI was held within the last 3 years).
  • Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures)
  • Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications

  • Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
  • Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
  • Familiarity with IC missions

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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