Engineering Internship, Robotics

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.

Students at Master or PhD level looking to work full-time for an extended period (~6 months) in an invigorating environment where researchers and engineers are enhancing the future of robotics. If you have a passion for robots and a desire to be part of the advancement of robot capabilities and usefulness, you will want to join us!

• Work collaboratively with researchers focused on advancing robotic systems
• Provide solutions to complex problem
• Collaborate on publications to be submitted at worldwide conferences
• System Design using model based and data driven techniques
• Creatively apply modern learning algorithms to real-world problems
• Use your strong development skills to develop algorithms and improve systems
• Working with researchers and engineers to develop prototypes

• MS and PhD students in a robotics-relevant field at a top university
• Good grasp of a broad set of techniques related to state and world estimation, active control of dynamic systems and planning/cognitive challenges of these types of systems
• Expertise with at least one programming language (Python, C++,
  
  C) or proven track record in electronics/hardware design
• Project experience
• Experience with systems that have complex physical interaction (locomotion & manipulation)

• Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, etc.)

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.