Research Scientist: Physics-Based Motion & Generative Video

Vertisystem (A MOURI Tech Company); United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Vertisystem (A MOURI Tech Company) is seeking an experienced Research Scientist to advance physics-based motion modeling and generative video research. You will develop and optimize physics-based motion reward systems used to post-train generative video models through reinforcement learning, working at the intersection of physics simulation, 3D human motion, RL, and AI-driven video generation.

The role demands 5+ years of hands-on work, a MS or PhD preferred, and strong Python/PyTorch skills;

Qualifications

• 5+ years of relevant research or industry experience.
• MS or PhD in CS/Robotics/CG/ME or related field (or equivalent experience).
• Strong experience with rigid-body and contact simulation tools (MuJoCo, NVIDIA Isaac, Bullet).
• Experience with SMPL-family human body representations and 3D pose modeling is desirable.
• Strong programming skills in Python and PyTorch; experience in reinforcement learning.

Responsibilities

• Develop physics-based motion reward systems for post-training generative video models.
• Integrate reward functions into RL training pipelines at scale.
• Extend motion modeling to human-object and human-scene interactions.
• Work with 3D mesh representations and human motion models to improve realism.
• Profile and optimize compute-intensive simulation and training pipelines.
• Apply reinforcement learning techniques to post-train large generative models.
• Contribute to research in video generation and physics-grounded AI systems.
• Evaluate simulated behavior against ground-truth benchmarks.

Skills

Python

PyTorch

Reinforcement learning

Rigid-body simulation

Physics-based modeling

Education

MS or PhD in Computer Science, Robotics, Computer Graphics, Mechanical Engineering, or related field

Tools

MuJoCo

NVIDIA Isaac

Bullet

Job description

Vertisystem (A MOURI Tech Company) is seeking an experienced Research Scientist to advance physics-based motion modeling and generative video research. You will develop and optimize physics-based motion reward systems used to post-train generative video models through reinforcement learning, working at the intersection of physics simulation, 3D human motion, RL, and AI-driven video generation.

The role demands 5+ years of hands-on work, a MS or PhD preferred, and strong Python/PyTorch skills;