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Research scientist; Robotics, AI

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: SupportFinity™
Full Time position
Listed on 2026-03-05
Job specializations:
  • Engineering
    Robotics, Artificial Intelligence
  • Research/Development
    Robotics, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Research scientist (Robotics, AI)

Company Description Dexmate, an early‑stage robotics startup, is building multi‑purpose mobile robots capable of complex manipulation tasks. We seek creative, skilled, and motivated research scientists to join our founding team and advance robot manipulation capabilities. The role requires proven expertise in machine learning and/or robotics. You will collaborate with talented researchers and engineers, driving innovation and technological advancements. This is a full‑time on‑site role in Santa Clara, CA.

Responsibilities
  • Develop new algorithms and methods for training AI models to enhance 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, and control algorithms on real robots.
  • Collaborate 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 state‑of‑the‑art robot learning techniques (reinforcement learning, imitation learning, etc.).
  • A track record of research excellence with publications 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.
  • Familiar with robot simulators such as Isaac Gym, Isaac Sim, SAPIEN, Mu Jo Co , Drake, etc.
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