Own and pursue a research agenda to develop realistic and controllable simulation agents.
Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.
Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
Publish high-impact research at top-tier conferences in machine learning or robotics.

Requirements

Masters/PhD in machine learning, computer science, engineering, or a related field.
Strong background in imitation learning and/or reinforcement learning.
Publications in top-tier conferences or journals related to machine learning or robotics.
Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.
Bonus:
Experience in self-driving, traffic simulation, or a related field.
Proven ability to take research from prototype to production systems.
Strong software engineering skills, including experience with large-scale training or simulation.

Benefits

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

imitation learningreinforcement learninggenerative modelsfoundation modelsplanningsearchsoftware engineeringlarge-scale trainingsimulation

Soft Skills

mentoringcollaborationscientific rigorrapid experimentation

Certifications

MastersPhD