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Robotics Researcher

Crossing Hurdles

Remote · На постоянной основе

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Опыт
2+ года
Зарплата
USD 400,000 – USD 1,500,000 / year
Открытия
1
Опубликовано
2 часа назад
Режим работы
Работа из дома
Образование
Bachelor's degree or higher in Robotics, Computer Science, Electrical Engineering, or related field
Резюме
Необходимо подать заявку.

Описание работы

About the Role

We are seeking a dedicated Robotics Researcher to join our remote team as a full-time Member of Technical Staff within our Robotics Lab. This role offers a significant compensation package ranging from $400,000 to $1,500,000 annually. The position is fully remote, providing flexibility while contributing to cutting-edge robotics research.

Key Responsibilities

  • Establish and unify standards for robotics data formats, schemas, and benchmarking to improve the utility and consistency of data.
  • Innovate and develop new approaches for gathering data, including human demonstrations, teleoperation techniques, and sensor integration.
  • Work collaboratively across diverse teams to ensure proper alignment on the data requirements for training robotic models.
  • Assess datasets for their diversity, scalability, and overall impact to enhance learning efficiency in robotic systems.
  • Create and test experimental prototypes and tools aimed at streamlining data acquisition processes.
  • Keep abreast of the latest progress in leading robotics laboratories and incorporate best practices into internal methodologies.

Candidate Requirements

  • Minimum of two years experience in robotics research and development, data engineering, or applied research.
  • Strong understanding of robotics data pipelines and multimodal data schemas such as RGB-D (color and depth), IMU (inertial measurement units), pose estimation, and natural language.
  • Experience in areas including robot perception, control systems, or data-driven learning frameworks.
  • A bachelor’s degree or higher in Robotics, Computer Science, Electrical Engineering, or related technical disciplines.
  • Employment history at prominent robotics or AI companies is advantageous, as is familiarity with embodied AI datasets or imitation learning practices.

Additional Information

The application process involves submitting an application, followed by email communications outlining next steps, which include resume reviews and interview rounds.

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