Roboticist - Machine Learning Engineer (Robotics and AI Institute LLC):
Create and develop new, cutting-edge robotics technologies to enhance and improve software
development for robots. Advance robot capabilities and usefulness in the areas of cognitive AI,
athletic AI, organic hardware design, and robot ethics. Duties include:
1. Train, deploy, and maintain various complex machine learning (ML) algorithms on cloud
and on premise infrastructure;
2. Develop processes, pipelines, and tools for all components of the ML lifecycle, including
training, evaluation, and deployment;
3. Build and maintain data, model, and experimentation pipelines;
4. Leverage complex robotics and software technologies and methods to conduct model
tuning, algorithm selection, and hyperparameter search using our MLops platform;
5. Partner with research and applied science teams to put models into production;
6. Promote quality and reliability through regular code reviews.
Minimum Requirements:
A 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.
Experience must include the following, which may have been gained concurrently:
1) 3 years of experience employing software development practices, including version
control and CI/CD in production environments;
2) 1 year of experience developing and deploying algorithms on robotic hardware;
3) 1 year of experience using ROS;
4) 1 year of experience using Docker or similar orchestration tools;
5) 1 year of experience with Gazebo or robotics simulators, including MuJoCo, Isaac Sim,
or Drake;
6) 1 year of experience using cloud platforms in the development of software;
7) 1 year of experience working with Python or C++ on Machine Learning Training and
production-level data processing.
Job site: 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
531791753v.1
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