Crossing Hurdles

Robotics Researcher

Crossing Hurdles

Remote · Full Time

Be the first to apply

Experience
2+ yrs
Salary
USD 400,000 – USD 1,500,000 / year
Openings
1
Posted
58 minutes ago
Work mode
Work from home
Education
Bachelor's degree
Resume
Required to apply

Job description

About the Role

We are seeking a Robotics Researcher to join our Technical Staff in the Robotics Lab. This full-time position offers a remote working arrangement with a competitive annual salary between $400,000 and $1,500,000. The successful candidate will play a crucial role in advancing robotics data management and research.

Key Responsibilities

  • Establish and unify robotics data formats, schemas, and benchmarking standards to improve data accessibility and consistency.
  • Create innovative methods for data gathering, leveraging human demonstrations, teleoperation, and sensor data integration.
  • Work collaboratively with cross-functional teams to align on requirements for training datasets used in model development.
  • Analyze datasets for characteristics such as diversity, scalability, and overall impact to enhance learning efficacy in robotic systems.
  • Develop prototype experiments and tools that streamline and optimize data collection workflows.
  • Keep informed on pioneering research from leading robotics laboratories and incorporate industry best practices into internal processes.

Candidate Requirements

  • Minimum of 2 years experience in robotics research and development, data engineering, or applied research domains.
  • Proficient understanding of robotics data systems and multimodal data schemas involving RGB-D, IMU, pose estimation, and language data.
  • Experience with robot perception, control strategies, or data-driven learning approaches is essential.
  • A degree in Robotics, Computer Science, Electrical Engineering, or a closely related technical discipline is required.
  • Background working at leading robotics or artificial intelligence organizations, or familiarity with embodied AI datasets and imitation learning pipelines, is advantageous.

Application Details

  • Applications are submitted directly via a streamlined online platform.
  • Successful candidates will be contacted by email with details about subsequent steps.
  • The selection process includes a resume review and interview stages.

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