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Research scientist; Robotics, AI

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Dexmate
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    Robotics, Artificial Intelligence, AI Engineer, Research Scientist
  • Research/Development
    Robotics, Artificial Intelligence, Research Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Research scientist (Robotics, AI)

Company Description

We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated research scientists to join our founding 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.

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.
Qualifications
  • 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/Tensor Flow/Jax.
  • Experience with real robot experiments.
  • Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ Mu Jo Co /Drake, etc.
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