Research Scientist V
Posted at: 10/08/2026
Full Remote - IT - Research / Researcher - Contract - Job ID: 26-159897
Title: Research Scientist V
Location: Remote
Duration: 12 months
Compensation:
$56 – $76/hr
Work Requirements: US Citizen, Green Card Holders, or Authorized to Work in the U.S.
Title: Research Scientist V
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.
Key Responsibilities Include:
- 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.
Required 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.
Our benefits package includes:
- Comprehensive medical benefits
- Competitive pay
- 401(k) retirement plan
- …and much more
About INSPYR Solutions
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