[Hiring] Research Scientist V @INSPYR Solutions

Role Description

We are looking for a Research Scientist V to support advanced research in physics-based motion modeling, reinforcement learning, and generative video systems. This role will focus on developing and improving physics-aware reward models, scaling simulation within reinforcement learning workflows, and extending motion modeling to complex human-object and human-scene interactions.

• Develop and improve physics-based motion reward models for post-training generative video systems.
• Enhance dynamic and contact components of reward signals to improve physical realism.
• Optimize reward and simulation pipelines so they can run efficiently within large-scale reinforcement learning loops.
• Extend motion modeling from single-body scenarios to human-object and human-scene interactions using 3D mesh representations.
• Conduct research and experimentation in generative modeling, simulation, and physics-aware learning.
• Profile and optimize compute-intensive Python/PyTorch pipelines.
• Evaluate and validate simulated physical behaviors and quantities against qualitative or human-judged ground truth.

Qualifications

• 5+ years of relevant research or industry experience.
• Experience with rigid-body and/or contact simulation using tools such as MuJoCo, Isaac, Bullet, or equivalent platforms.
• Experience with 3D human pose and motion representations, including SMPL-family models or similar approaches.
• Strong proficiency with Python and PyTorch, including profiling and optimization of compute-heavy pipelines.
• Experience with reinforcement learning reward design and post-training of large generative models.
• Strong understanding of numerical methods and solver stability.
• MS or PhD in Computer Science, Robotics, Computer Graphics, Mechanical Engineering, Physical Science, or a related technical field, or equivalent industry experience.

Preferred Qualifications

• PhD in Computer Science, Physical Science, Robotics, Graphics, or a closely related field.
• Experience with generative video, diffusion models, or simulation-based video generation.
• Experience scaling simulation workloads for research or production environments.
• Publications or demonstrated research in physics-grounded generative modeling, differentiable simulation, human motion generation, or related areas.
• Experience validating simulated physical quantities or model behavior against human-evaluated ground truth.

Benefits

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more