Roboticist - Machine Learning Engineer; Robotics and AI Institute LLC

Roboticist - Machine Learning Engineer (Robotics and AI Institute LLC)

Apply for the Roboticist - Machine Learning Engineer role at RAI Institute.

Responsibilities:

• Train, deploy, and maintain complex machine learning algorithms on cloud and on‑premise infrastructure.
• Develop processes, pipelines, and tools for all components of the ML lifecycle, including training, evaluation, and deployment.
• Build and maintain data, model, and experimentation pipelines.
• Leverage robotics and software technologies to conduct model tuning, algorithm selection, and hyperparameter search using our MLOps platform.
• Partner with research and applied science teams to put models into production.
• Promote quality and reliability through regular code reviews.

Minimum Requirements:

• Bachelor’s degree (or foreign equivalent) in Robotic Systems Development, Computer Science, Mechanical Engineering, or a closely related field followed by 4 years of post‑baccalaureate experience in a robotics engineering‑related occupation.
• 3 years of experience employing software development practices, including version control and CI/CD in production environments.
• 1 year of experience developing and deploying algorithms on robotic hardware.
• 1 year of experience using ROS.
• 1 year of experience using Docker or similar orchestration tools.
• 1 year of experience with Gazebo or robotics simulators, including Mu Jo Co , Isaac Sim, or Drake.
• 1 year of experience using cloud platforms in the development of software.
• 1 year of experience working with Python or C++ on machine‑learning training and production‑level data processing.

Location:

145 Broadway, Cambridge, MA 02142. Full‑time. Salary: $183,000 to $237,900.

To apply, email cover letter and resume, referencing Req. #061454‑338, to hr.

We may use AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.