Research Engineer - Robot Learning

Applied IntuitionSunnyvale, California, United StatesHybridfull_timemid

$126k–$423k USD

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Tech Stack

Python Pytorch Distributed Machine Learning Model Training World-Action Foundation Model Diffusion Policy

Responsibilities

Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
Construct robotic simulation environments at scale and use it for RL training
Process human data for robotic use cases
Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Soft Skills

Computer VisionRobotics SystemsVideo/Gaussian GenerationMulti-Modal Robot LearningPhysics-Aware ReconstructionDeformable Simulation

Benefits

401k
Dental
Disability Insurance
Equity
Flexible PTO
Health Insurance
Learning Budget
Life Insurance
Vision

Culture

Hybrid WorkFast-PacedCustomer-Obsessed

Requirements

Preferred: MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field

About Applied Intuition

Industry: automotive

Size: medium

Applied Intuition is a Silicon Valley company powering the future of physical AI by creating digital infrastructure to bring intelligence to every moving machine on the planet. Valued at $15 billion, they service automotive, defense, trucking, construction, mining, and agriculture industries.

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Compensation

Base salary: $126k–$423k USD

Equity: Equity in the form of options and/or restricted stock units

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