Data & AnalyticsOn-site

Research scientist (Robotics, AI)

Dexmate · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Dexmate's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $120K - $300K
Location: Fremont Office
Occupation: Data Scientists(O*NET 15-2051.00)
Company website: customer.io

Hiring context

How this role compares at Dexmate

Dexmate has 39 live roles in MeritLog’s catalog across 9 job families, and 6 of them are in data & analytics. 31 of those listings publish a pay range, a disclosure rate of 79%.

This role's posted range of $120K - $300K sits above 62% of the 26 other Dexmate roles quoted over the same currency and period.

Dexmate concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.

What they're asking for

Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.Education
Passionate about working with robots and building robot products.Skill
Excellent analytical, problem-solving, and communication skills.Skill
At least 3 years of experience conducting independent research.Experience
Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.)Skill
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.Skill
Proficient with Python.Skill
Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.Skill
Experience with real robot experiments.Skill
Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Company Description Dexmate is building the foundation for physical AI - a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI. If you want to help shape the next layer of human capability - and believe the future of robotics should be built together, not in isolation - we'd love to build it with you. 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/TensorFlow/Jax. - Experience with real robot experiments. - Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.

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