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Remote Ai Robotics Engineer Jobs in Boston, MA (NOW HIRING)

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

... remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field. * Strong hands-on programming ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top Requirements: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud ...

A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Train and deploy new AI models. * Analyze model performance and identify improvements. * Research ...

New

Senior Software Engineer - RPA v2

Cambridge, MA · On-site +1

$133K - $176K/yr

LiveData Explained RPA Software Engineer LiveData Remote, United States (Eastern Time preferred ... Bring your demonstrated AI proficiency, a bias toward shipping, and a desire to build healthcare ...

Robotics Tutor

Waltham, MA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Senior Software Engineer - RPA v2

Cambridge, MA · Remote

$125K - $165K/yr

LiveData Explained RPA Software Engineer LiveData | Remote, United States (Eastern Time preferred ... Bring your demonstrated AI proficiency, a bias toward shipping, and a desire to build healthcare ...

Robotics Tutor

Cambridge, MA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Robotics Tutor

Lowell, MA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

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Showing results 1-20

Remote Ai Robotics Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

How much do remote ai robotics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote ai robotics engineer in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Robotics Engineer vs Remote Robotics Software Developer?

AspectRemote Ai Robotics EngineerRemote Robotics Software Developer
Required CredentialsBachelor's/Master's in Robotics, AI, Computer Science; relevant certificationsBachelor's/Master's in Robotics, Computer Science; relevant certifications
Work EnvironmentRemote, collaborative teams, R&D labsRemote, software development teams, R&D labs
Industry UsageAI integration in robotics, automationRobotics software development, automation systems
Common Search IntentAI-focused robotics roles, automation projectsRobotics software development, programming

The Remote Ai Robotics Engineer and Remote Robotics Software Developer roles share similar credentials and work environments, often overlapping in AI and robotics industries. However, the AI Robotics Engineer emphasizes integrating AI into robotics systems, while the Robotics Software Developer focuses more on programming and developing robotics software solutions.

What are the most commonly searched types of Ai Robotics Engineer jobs in Boston, MA? The most popular types of Ai Robotics Engineer jobs in Boston, MA are:

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Posted 29 days ago


Job description

Help us bridge machine learning research and real-world deployment!

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'

This is NOT a fully remote position!

Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.