Robotics Researcher

3 days ago

San Francisco Bay Area, United States Cubiq Recruitment Full time

Robotics Researcher / Remote


This robotics start-up is on the brink of a groundbreaking journey. With their first product demo set for July, they’re gearing up to redefine the future of robotics with super-smart tech. And guess what? You can be part of this revolution, no matter where you are We're proud to offer 100% remote work opportunities.


Backed by visionary founders who previously built a $5 billion company, they’re driven by a mission to transform domestic workflows through cutting-edge AI-driven technology. With a substantial funding round due, and a team of exceptional engineers already on board, they’re poised for rapid growth and impact.


The ultimate goal of their robot is to orchestrate complex activities seamlessly. Picture this: cooking, washing, cleaning, and more, all executed with precision and efficiency by their advanced robotics platform.


Day to day, you’ll work with a small team of scientists & engineers in developing and testing a combination of DeepRL and Supervised Learning policies on quadrupeds & humanoids

If you’d like to be part of this you’ll really need to know your stuff You’ll have proven experience in a lead role, applying RL techniques for robot learning, as well as applying ML on vision/speech/text data for classification/regression. (Some top-tier publications won't go amiss either)


This truly is a unique chance to be part of something big.


In the next couple of years, everyone in AI is going to be talking about this company. They could also be talking about your tech


Key Responsibilities:

  • Develop DeepRL policies that take vision, sound & proprioception as input and output joint angles/torques to solve various challenging tasks
  • Establish a framework for orchestrating multiple robot tasks, employing visual, auditory, and textual cues to recognize and execute tasks within a closed-loop environment.
  • Design policies capable of learning from teleoperation methods such as Learning from Demonstration (LfD) and Reinforcement Learning from Demonstrations (RLfD).
  • Develop policies leveraging large-scale internet videos showcasing task performances by humans or robots (LfV) to enhance learning.
  • Formulate policies through distillation or transfer learning techniques from a pre-existing model.
  • Provide mentorship and guidance to junior scientists and engineers within the team, fostering their growth and development


Requirements:

  • Proven experience in applying RL techniques for robot learning (ideally 3+ years in a lead role)
  • Phd/Masters in Computer Science or related field
  • Publications in prominent AI/ML journals and/or work experience in a robotics company
  • Good understanding of sim to real gap and distribution shift in robotics


Compensation:

  • Competitive salary ranging from $250,000 to $350,000 annually, depending on experience
  • Equity compensation on top of salary described.
  • Comprehensive benefits package.


This company is an equal-opportunity employer and value diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

** If you're interested in this opportunity, please submit your CV via the link provided **

Cubiq Recruitment is recognised as a trusted supplier of permanent, contract and interim recruitment services to AI, Software ERP, Engineering, Manufacturing and Commercial sectors. Our teams of specialist recruiters operate across all core commercial engineering & technology disciplines and specialist areas.

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