As a Robotics Engineering Intern, you will develop perception systems, work with existing models, and engage in code reviews to enhance code quality.
Our Mission:
Our mission is to solve the most important and fundamental challenges in AI and robotics to enable future generations of intelligent machines that will help us all live better lives.
What We Are Looking For:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
- Strong proficiency in Python (and standard libraries including numpy, torch, etc) and familiarity with Robotics Operating System (ROS)
- Understanding of fundamental robotics concepts (kinematics, homogeneous transforms, etc)
- Strong troubleshooting/debugging skills and a willingness to jump into unfamiliar technical areas and code
What You'll Do:
- Develop robotics perception systems and/or deploy them on robots
- Work with existing state-of-the-art perception models or pipelines
- Use data to drive decision making and develop technologies iteratively
- Participate in code reviews to promote code quality and reliability across the codebase
Bonus:
- Familiarity with fundamental AI/ML concepts or state-of-the-art methods in computer vision
- Experience with git, issue tracking (Jira), and modern software engineering practices
- Excellent communication skills, both verbal and written, with the ability to articulate technical concepts clearly
- Ability to work independently as well as part of a team in a dynamic, research-driven environment
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Top Skills
Numpy
Python
Ros
Torch
RAI Institute Cambridge, Massachusetts, USA Office
145 Broadway, Cambridge, MA, United States, 02142
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