Robotics ML Research Scientist - Build General-Purpose AI

Skild AI Inc.

San Francisco (CA)

On-site

USD 100,000 - 300,000

Full time

7 days ago
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Benefits offered by this job

Health insurance

Job summary

Skild AI Inc. is seeking Research Scientists to lead the development of next-generation techniques for robotic systems. You will collaborate with researchers and engineers to advance our research strategy and translate findings into impactful applications.

The role requires a track record of fundamental, scalable research with a passion for pushing the boundaries of what is possible in robotics and machine learning.

Qualifications

  • PhD degree in Computer Science, Robotics, Engineering or a related field.
  • Multiple years of experience in conducting research.
  • Proficiency in Python and at least one deep learning library.
  • Publications at top-tier ML, robotics, or CV conferences.
  • Deep technical knowledge in DL, RL, robotics, or computer vision.
  • Deep understanding of state-of-the-art machine learning techniques.
  • Experience working with robot systems.
  • Experience with large-scale model training and systems.

Responsibilities

  • Develop new algorithms and methods for training general-purpose robot foundation models.
  • Conduct cutting edge research across perception, robotics, RL/IL, ML, and related fields.
  • Work with large-scale systems and large-scale model training.

Skills

Python
Deep learning libraries
Reinforcement learning
Robotics knowledge
Publications
Research mindset

Education

PhD in Computer Science, Robotics, Engineering or related field

Job description

Skild AI Inc. is seeking Research Scientists to lead the development of next-generation techniques for robotic systems. You will collaborate with researchers and engineers to advance our research strategy and translate findings into impactful applications.

The role requires a track record of fundamental, scalable research with a passion for pushing the boundaries of what is possible in robotics and machine learning.

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