Research Scientist V

INSPYR Solutions; California; Remote; USD 160,463,000 - 217,771,000; Full time

Benefits offered by this job

Competitive pay

Job summary

INSPYR Solutions is seeking a Research Scientist V for a remote, 12-month assignment to advance physics-based motion modeling, reinforcement learning, and generative video systems. Candidates should have 5+ years' research experience and strong Python/PyTorch skills.

The role involves developing physics-aware reward models, scaling simulations in RL workflows, and extending motion modeling to complex human-object interactions with 3D meshes. US work authorization required.

Qualifications

• 5+ years of relevant research or industry experience.
• Strong Python and PyTorch proficiency with profiling/optimization.
• Experience with reinforcement learning reward design.
• 3D human pose and motion representations (SMPL-family).
• MS or PhD or equivalent in a related field.

Responsibilities

• Develop physics-based motion reward models for generative video systems.
• Improve reward signals for physical realism in simulations.
• Scale simulation within large-scale RL workflows.
• Extend motion modeling to human-object and human-scene interactions using 3D meshes.
• Profile and optimize Python/PyTorch pipelines.

Skills

Python

PyTorch

Reinforcement learning

3D pose representations

Education

MS or PhD in CS/Robotics/Graphics or related

Tools

MuJoCo

Isaac

Bullet

Job description

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:

• Competitive pay


• …and much more

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities.

Applicants requiring reasonable accommodation during the application or interview process should contact [e-mail] for assistance.