We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say.
What You'll be Doing
  • Thoughtfully analyzing the core problems in perception and control of robotic manipulators that we face at a holistic level and distilling the essential steps to solving them
  • Collaborating with other researchers to propose specific, elegant, and efficient solutions to these problems using machine learning when appropriate
  • Implementing machine learning models and efficient algorithms to realize these solutions both in simulation and on our robotic platforms
  • Evaluating solution performance directly on our robotic platforms and closing the loop by modifying our algorithms and implementations
     
Experience and Skills You'll Need
  • Ph.D. in computer science or a related field, or advanced degree and equivalent industry experience. (We also consider exceptional applicants with other backgrounds.)
  • Track record of research excellence as reflected by a publication record in reputable conferences/journals
  • Strong ethic of self-reliance and the initiative to do whatever is needed to solve a problem
  • Ability to develop and implement complex algorithms thoughtfully and efficiently
  • Proven theoretical and practical machine learning experience (particularly deep learning)
  • Experience with Tensorflow or a similar deep learning framework and strong Python programming skills
  • Strong communication skills and a proven ability to deliver on challenging software development tasks
  • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer)
     
Bonus if You Have
  • Experience with software development tools, source control, issue tracking, continuous integration, code coverage
  • Experience with 3D scene understanding and object detection/segmentation from vision
  • Industrial robotics experience: motion planning, computer vision, kinematics, dynamics
  • Background in reinforcement learning techniques for sequential decision making
  • Experience working independently on a shared machine learning code base and infrastructure