Research Scientist, Autonomy & Robotics

Applied Intuition; Sunnyvale (CA); On-site; USD 126,000 - 423,000; Full time

Benefits offered by this job

Equity options

Comprehensive health, dental, and vision insurance

401k retirement benefits with employer match

Learning and wellness stipends

Paid time off

Job summary

Applied Intuition, located in Sunnyvale, California, is looking for passionate Research Scientists to join their team. This role focuses on developing next-generation technologies in reinforcement learning for autonomous driving and robotics.

As a Research Scientist, you'll work with top experts and enhance methods that contribute directly to real-world applications. The position requires a strong academic background in machine learning, with opportunities for growth in a collaborative environment.

Salary ranges from $126,000 to $423,000 annually, depending on experience and skill level.

Qualifications

• Strong research record in RL and VLA post-training for autonomous systems.
• Passion for scalable autonomy and robotics for real-world systems.
• Ability to work both independently and collaboratively on projects.

Responsibilities

• Conduct research on RL topics related to autonomous driving.
• Collaborate with Research Scientists on publications for top-tier conferences.
• Test and deploy algorithms to autonomy and robotics products.

Skills

Reinforcement learning (RL)

VLA post-training

Python

PyTorch

Computer vision

Robotics systems

Education

MSc or PhD in machine learning, computer vision, or closely-related fields

Tools

Distributed machine learning model training

Job description

Applied Intuition, located in Sunnyvale, California, is looking for passionate Research Scientists to join their team. This role focuses on developing next-generation technologies in reinforcement learning for autonomous driving and robotics.

As a Research Scientist, you'll work with top experts and enhance methods that contribute directly to real-world applications. The position requires a strong academic background in machine learning, with opportunities for growth in a collaborative environment.

Salary ranges from $126,000 to $423,000 annually, depending on experience and skill level.