Research scientist (Robotics, AI)

IntelliPro Group Inc. • Santa Clara, CA

92d • $150,000 - $230,000

About The Position

We are looking for a creative, skilled, and motivated research scientists to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA.

Requirements

• Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.
• Passionate about working with robots and building robot products.
• Excellent analytical, problem-solving, and communication skills.
• At least 3 years of experience conducting independent research.
• Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.).
• A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc.
• Proficient with Python.
• Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.
• Experience with real robot experiments.
• Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.

Responsibilities

• Develop new algorithms and methods for training AI models for enhancing the robot dexterity.
• Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.).
• Work with large-scale ML systems and large-scale model training/fine-tuning.
• Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots.
• Work with other teams to develop a diverse set of robust manipulation skills for robots.

Benefits

• Comprehensive benefits package subject to eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees