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Robotics Researcher

Crossing Hurdles

Remote · À temps plein

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Expérience
2 ans et plus
Salaire
USD 400,000 – USD 1,500,000 / year
Ouvertures
1
Publié
il y a 2 heures
Mode de travail
Travaillez à domicile
Éducation
Degree in Robotics, Computer Science, Electrical Engineering, or related field
CV
Candidature requise

Description de l'emploi

About the Role

We are seeking a dedicated Robotics Researcher to join our technical team remotely. This full-time position offers a competitive annual salary range from $400,000 to $1,500,000. The role focuses on advancing robotics research by defining standards, innovating data collection strategies, and collaborating across teams to enhance robot learning.

Key Responsibilities

  • Establish and unify robotics data formats, schemas, and benchmark criteria to improve data accessibility and consistency.
  • Create novel methodologies for data acquisition, including human demonstrations, teleoperation, and sensor data incorporation.
  • Work closely with interdisciplinary teams to synchronize model training data specifications.
  • Assess datasets to ensure they are diverse, scalable, and impactful for improving robotic learning systems.
  • Develop prototypes and tools that streamline and enhance data collection processes.
  • Keep abreast of latest innovations in prominent robotics research labs and integrate best practices into existing workflows.

Candidate Requirements

  • Minimum of 2 years’ experience in robotics research and development, data engineering, or applied research fields.
  • In-depth understanding of robotics data pipelines and multimodal data schemas such as RGB-D, IMU, pose estimation, and language representations.
  • Proven expertise in robot perception, control systems, or data-driven learning techniques.
  • Bachelor’s degree or higher in Robotics, Computer Science, Electrical Engineering, or closely related disciplines.
  • Experience working with leading robotics or AI companies is advantageous, along with knowledge of embodied AI datasets or imitation learning frameworks.

Application Process

  • Submit application through the company's platform.
  • Monitor email communications for follow-up instructions.
  • Engage in resume screening and interview stages.

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