How your work moves the mission forward

• Develop, mature, and deploy production-grade RL policies that solve contact-rich assembly tasks on real-world manufacturing lines using industrial robots.
• Transition cutting-edge manipulation research into robust, scalable production solutions with high velocity.
• Define the roadmap and take ownership of the future development of our Reinforcement Learning Algorithms stack for global industrial deployment.
• Contribute to our cloud and on-premises training and inference workflows required for large-scale model/policy optimization.

Skills you will need to be successful

• Domain and Industry Experience: PhD in applied Reinforcement Learning, Visuomotor Policy Learning, or a related field with a focus on robotic manipulation and industrial assembly, complemented by 3+ years of relevant industry experience.
• Deep Learning & Software: Advanced proficiency in JAX, Python, and C++. Extensive experience with TensorFlow or PyTorch.
• Scientific Excellence: A strong theoretical foundation in state-of-the-art algorithms, evidenced by high-impact publications in the robot learning community (e.g., CoRL, RSS, etc).
• Deployment Know-How: A proven track record of successfully transferring RL algorithms from the experimental stage to production-grade industrial applications.

Skills that will differentiate your candidacy

• Advanced Reinforcement Learning: Experience with Diffusion Policies, World Models, Vision-Language-Action (VLA) models, or Offline RL.
• Multimodal Perception and Control: Expertise in integrating tactile/force sensing (force control) and computer vision (visual servoing) for contact-rich tasks.
• Complex Manipulation: Experience handling soft or linear deformable objects and/or utilizing data augmentation for robust policy training.
• Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
• Industrial Robotics Expertise: Hands-on experience with industrial-grade automation equipment and familiarity with safety standards in production environments.
• Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.