Runway ML

1 month ago

Member of Technical Staff, Robotics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Own the robotics vertical of Runway’s world models portfolio by building end-to-end robot learning pipelines, turning video foundation models into policies that control real robots, and deploying them on hardware. You’ll work across data collection, policy training, and physical evaluation, collaborating with cross-functional teams to ship world-model-based robot policies for manipulation and mobile robotics.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design and execute end-to-end robot learning pipelines — from task design and demonstration data collection through policy training, and physical evaluation.
•Deploy and iterate on learned policies (VLAs, diffusion policies, World Action Models) on real robot hardware, closing the loop between model predictions and physical outcomes.
•Run controlled experiments to understand how world model representations, data composition, and fine-tuning strategies translate to downstream manipulation and locomotion performance.
•Build and maintain physical evaluation benchmarks and infrastructure — designing tasks, procuring hardware, calibrating systems, and measuring real-world success rates.
•Coordinate robot data collection efforts across internal teams and external partners, ensuring data quality, coverage, and consistency across embodiments.

Pay and Benefits

Salary: USD 270,000 - 370,000 annually

Key Requirements

•Hands-on robotics experience spanning data collection, model training, and physical evaluation.
•Direct experience with modern learned policies (e.g., VLAs, diffusion policies) on real hardware.
•Experience with robot data collection, teleoperation, and demonstration pipelines across at least one manipulation or mobile platform.
•Strong intuition for the full robot learning lifecycle: task design → data collection → policy training → physical evaluation.
•Proficiency with at least one ML framework (e.g., PyTorch, JAX).

Experience:Robotics

Skills:CollaborationProblem-solving

Tech Stack:PyTorchJAXVLAsDiffusion policies

Company Brief

Runway ML

Provides generative AI tools and a creative platform for creators and studios to generate, edit, and collaborate on images, video, and other media using state-of-the-art machine learning models.

Industry: AI & Machine Learning

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: New York, United States

Founded: 2018

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Runway ML

1 month ago

Member of Technical Staff, Robotics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design and execute end-to-end robot learning pipelines — from task design and demonstration data collection through policy training, and physical evaluation.
•Deploy and iterate on learned policies (VLAs, diffusion policies, World Action Models) on real robot hardware, closing the loop between model predictions and physical outcomes.
•Run controlled experiments to understand how world model representations, data composition, and fine-tuning strategies translate to downstream manipulation and locomotion performance.
•Build and maintain physical evaluation benchmarks and infrastructure — designing tasks, procuring hardware, calibrating systems, and measuring real-world success rates.
•Coordinate robot data collection efforts across internal teams and external partners, ensuring data quality, coverage, and consistency across embodiments.

Pay and Benefits

Salary: USD 270,000 - 370,000 annually

Key Requirements

•Hands-on robotics experience spanning data collection, model training, and physical evaluation.
•Direct experience with modern learned policies (e.g., VLAs, diffusion policies) on real hardware.
•Experience with robot data collection, teleoperation, and demonstration pipelines across at least one manipulation or mobile platform.
•Strong intuition for the full robot learning lifecycle: task design → data collection → policy training → physical evaluation.
•Proficiency with at least one ML framework (e.g., PyTorch, JAX).

Experience:Robotics

Skills:CollaborationProblem-solving

Tech Stack:PyTorchJAXVLAsDiffusion policies

Company Brief

Runway ML

Provides generative AI tools and a creative platform for creators and studios to generate, edit, and collaborate on images, video, and other media using state-of-the-art machine learning models.

Industry: AI & Machine Learning

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: New York, United States

Founded: 2018

Website LinkedIn