Senior Robotics Research Engineer

3 weeks ago


Mountain View, United States Oho Group Ltd Full time

A Humanoid Robotics start-up who has been backed with more then $100m from places such as OpenAI is looking for a Research Engineer to help develop full-stack infrastructure for simulation, data management, and learning as well as developing algorithms to improve sample-efficiency of visuomotor policies.

We are looking for senior-level candidates who have experience training deep neural networks for manipulation, navigation, and locomotion on real robot hardware.

As a member of the team, you'll be pivotal in expanding the capabilities of robots by deploying code across various customer sites.

Responsibilities:

  • Enhancing datasets for comprehensive training in navigation, manipulation, and locomotion
  • Extending the "data engine" to streamline data review, cleaning, and labeling processes
  • Training and assessing mobile manipulation policies within simulated environments
  • Bridging the gap between simulation and reality to expedite development cycles
  • Collaborating with our robot operations team to elevate dataset and model capacities

Job Requirements:

  • A Bachelor's degree in Computer Science or equivalent from a Top University (Ivy League)
  • 5+ years of hands-on experience in robotic machine learning
  • Track record of published research in esteemed ML conferences
  • Proficiency in Python, including extensive codebase navigation and testing
  • Ability to swiftly prototype concepts independently
  • Familiarity with linear algebra and supervised ML techniques
  • Proficient in Deep Learning Frameworks (e.g., Pytorch, TensorFlow, JAX)

Desired Qualities:

  • A quick thinker and learner
  • Equally adept at groundbreaking ML research and practical deployment tasks
  • Sound judgement in framing research challenges and infrastructure development
  • Diligence and meticulous attention to detail

Added Advantages:

  • Experience with ROS/ROS2
  • Demonstrated ability in developing large-scale projects, possibly open-source
  • Proficiency in training large-scale ML models like visual foundation models or generative models at pixel level
  • Active engagement in communities like r/LocalLLaMA and experimentation with open-source LLM technology


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