PhD Research Scientist Intern, Autonomous Driving AI

ProducePay; San Francisco (CA); On-site; USD 83,000 - 90,000; Full time

Benefits offered by this job

Daily snacks

Team events

Growth opportunities

Job summary

Waabi, a leader in Physical AI, is hiring researchers and engineers to advance autonomous transportation at scale. You will work on AI-driven perception, prediction, planning, and control, designing and refining algorithms for self-driving vehicles and production systems.

Join a world-class team with offices in San Francisco, Toronto, Dallas and Pittsburgh, and contribute to open research, publications, and practical deployments. We value collaboration, curiosity, and impactful solutions.

Qualifications

• Pursuing PhD in CS, AI, ML, CV, robotics or related field.
• Demonstrated research/software engineering experience through internships, work, competitions or papers.
• At least one publication in top ML/CV/Robotics conferences.
• Strong quantitative background in linear algebra, calculus, and probability.
• Proficient in Python and/or C++.

Responsibilities

• Be part of a multidisciplinary team using an AI-first approach to enable safe self-driving at scale.
• Lead or contribute to an AI research project, developing new algorithms for Autonomous Vehicle (AV).
• Design, implement, train, and optimize novel algorithms on self-driving vehicles and production systems.
• Publish work externally at top machine learning, computer vision, and robotics conferences, and post to the company blog.

Skills

Python

C++

Machine Learning

Research

Collaboration

Education

PhD candidate in CS/AI/ML/Robotics

Tools

PyTorch

TensorFlow

Job description

Waabi, a leader in Physical AI, is hiring researchers and engineers to advance autonomous transportation at scale. You will work on AI-driven perception, prediction, planning, and control, designing and refining algorithms for self-driving vehicles and production systems.

Join a world-class team with offices in San Francisco, Toronto, Dallas and Pittsburgh, and contribute to open research, publications, and practical deployments. We value collaboration, curiosity, and impactful solutions.