Robotics Researcher | Remote

Crossing Hurdles; Canada; On-site; CAD 560,696 - 2,102,610; Full time

Job summary

Crossing Hurdles seeks a highly skilled Member of Technical Staff for our Robotics Lab to advance data-driven robotics research. The role emphasizes standardizing data formats and supporting model training through robust data pipelines and multimodal schemas.

You will prototype tools and methods to streamline data collection and improve learning outcomes. The ideal candidate has 2+ years in robotics R&D or applied research, with experience in perception, control, or learning, and a degree in

Qualifications

• 2+ years of experience 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 methodologies.
• Degree in Robotics, Computer Science, Electrical Engineering, or related field.
• Experience at top robotics or AI companies is a plus, familiarity with embodied AI datasets or imitation learning pipelines.

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 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.

Skills

Robotics R&D

Data engineering

Applied research

Education

Bachelor's in Robotics

Electrical Engineering

Tools

ROS

Python

Deep learning

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.