Robotics Researcher | Remote

Crossing Hurdles; United Kingdom; On-site; GBP 300,276 - 1,126,035; Full time

Job summary

Crossing Hurdles is seeking a Member of Technical Staff (Robotics Lab) for a fully remote role with a highly competitive compensation package. You will lead the standardization of robotics data formats, design advanced data collection methods, and collaborate with cross-functional teams to define model training data requirements.

The ideal candidate has 2+ years in robotics R&D or related fields, strong knowledge of multimodal data pipelines (RGB-D, IMU, pose, language), and a degree in

Qualifications

• 2+ years in robotics R&D, data engineering, or applied research.
• Strong grasp of robotics data pipelines and multimodal schemas (RGB-D, IMU, pose, language).
• Experience in robot perception, control, or data-driven learning methods.

Responsibilities

• Define and standardize robotics data formats, schemas, and benchmarks to enhance data usability.
• Design data collection methods including human demonstrations, teleoperation, and sensor integration.
• Collaborate with cross-functional teams to align on model training data requirements.
• Evaluate datasets for diversity, scalability, and impact to improve robot learning outcomes.
• Prototype experiments and tools to facilitate efficient data gathering processes.
• Stay updated on advancements in leading robotics labs and integrate best practices.

Skills

Robotics R&D

Data engineering

Applied research

Education

Robotics, Computer Science or Electrical Engineering degree

Job description

Position: Member of Technical Staff (Robotics Lab)

Type: Full-time

Compensation: $400K - $1.5M/yr

Location: Remote

Role Responsibilities

• Define and standardize robotics data formats, schemas, and benchmarks to enhance data usability.
• Design innovative data collection methods, including human demonstrations, teleoperation, and sensor integration.
• Collaborate with cross-functional teams to ensure alignment on model training data requirements.
• Evaluate datasets for diversity, scalability, and impact to improve robot learning outcomes.
• Prototype experiments and tools to facilitate efficient data gathering processes.
• Stay updated on advancements in leading robotics labs and integrate best practices into workflows.

Requirements

• Have 2 of experience in robotics R&D, data engineering, or applied research.
• Possess a strong grasp of robotics data pipelines and multimodal schemas such as RGB-D, IMU, pose, and language.
• Have experience in robot perception, control, or data-driven learning methodologies.
• Have a degree in Robotics, Computer Science, Electrical Engineering, or a related field.
• Experience at top robotics or AI companies is a plus, along with familiarity with embodied AI datasets or imitation learning pipelines.