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Robotics Researcher

Crossing Hurdles

Remote · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
2+ yıl
Maaş
USD 400,000 – USD 1,500,000 / year
Açılışlar
1
Yayınlandı
11 saat önce
Çalışma modu
Evden çalışma
Eğitim
Degree in Robotics, Computer Science, Electrical Engineering, or related field
Sürdürmek
Başvuru yapılması gerekmektedir.

İş tanımı

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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