Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning

Location: Mountain View, California, United States

Salary: $193,930–$352,290 per year, plus annual performance bonus, equity, and benefits.

Company

hirify.global develops Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, and personal vehicles.

What you will do

• Develop and scale generative models, including diffusion architectures, flow-matching techniques, and energy-based models, for autonomous plan generation.
• Build generative systems with foundation models, large language models, and world foundation models for reasoning, decision-making, and multimodal generation.
• Optimize generative models with reinforcement learning, reward modeling, learned verifiers, joint prediction and planning, and self-play.
• Develop controllable generative models guided by goals, conditions, and rewards.
• Explore applications in active learning and world modeling.
• Collaborate across autonomy teams and evaluate solutions by deploying models on the hirify.global Driver.

Requirements

• Ph.D. preferred, or M.Sc. with 3+ years of experience working with generative models.
• Research experience with generative models, particularly diffusion models, flow matching, and energy-based models for robotics, path planning, or autonomous driving.
• Strong problem-solving and programming skills in Python and/or C++.
• Ability to collaborate effectively and contribute as a strong team player.
• Experience with research publications at leading conferences such as NeurIPS, ICLR, ICML, CVPR, RSS, or CoRL.

Nice to have

• Experience with vision-language-action models, reinforcement learning for generative model optimization, video generation, text-to-image generation, diffusion models for large language models, or world foundation models.

Culture & Benefits

• Annual performance bonus and equity eligibility.
• Competitive benefits package.
• Inclusive workplace focused on psychological safety and equal opportunity.