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

Robotics and AI Institute • Cambridge, MA

1d • $183,000 - $237,900 • Onsite

About The Position

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.

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.
• 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 using Gazebo or robotics simulators, including MuJoCo, 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.

Responsibilities

• Train, deploy, and maintain various complex machine learning (ML) 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 complex robotics and software technologies and methods 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level