Tri Source International

Tri Source International

Senior Research Scientist, Large Behavior Models

Cambridge, MA · Senior

Sponsorship not specifiedDetected 181 days ago
PythonC++Machine LearningPyTorchData EngineeringRoboticsAR/VRResearchCommunication

About the role

  • We measure our success in terms of fundamental capabilities development, as well as research impact via open-source software and publications.
  • Come join us and let's make general-purpose robots a reality.
  • Some of our ongoing work is highlighted here.

Responsibilities

  • Collaborate with internal research scientists and our partner labs at top academic research universities including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.
  • We're developing new tools and capabilities to amplify the human experience.
  • To lead this transformative

Requirements

  • Experience training large models and deploying them on embodied systems, particularly toward robotic manipulation.
  • Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
  • Practical experience with robots and the system integration challenges inherent in conducting research and deploying onto physical hardware platforms.
  • An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
  • PhD in computer science, machine learning, robotics, or a closely related field.
  • Strong software development skills in Python, familiarity with mixed C++/Python codebases, and a focus on clean, maintainable code.
  • Extensive practical experience with Machine Learning using a major framework such as PyTorch or TensorFlow. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
  • Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models.
  • A strong track record of impact, either via first author research publications at top-tier machine learning or robotics conferences (RSS, NeurIPS, ICML, CoRL, ICRA, IROS, …), or via meaningful contributions to successful industry initiatives.
  • Bonus Qualifications
  • Experience in robotics and machine learning research or related projects in an industry setting.
  • Background or familiarity with some of the following: motion control and actuation, whole-body control, reinforcement learning, robot teleoperation methods, common communication protocols, research robotic arms/systems, visual perception and depth sensors, machine learning, robotic simulation, force and tactile sensing systems, haptic interfaces.

Nice to have

  • Experience with robotic middleware such as ROS 2 and common communication methods and protocols.
  • Experience with modern ML infrastructure pipelines, approaches, and tools.
  • Experience with VR-based teleoperation for real-time robot control.
  • It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
  • An employer who violates this law shall be subject to criminal penalties and civil liability.
  • Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Compensation

  • The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for Massachusetts-based roles.

Benefits

  • The Vision We envision a future with robots that help people in our real environments with interactions that allow robots to understand, adapt, and grow with us.
  • Implement, extend, and create state-of-the-art methods for robot behavior learning from a mixture of interactive embodied data and online data sources.
  • Design and implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
  • Extensive practical experience with Machine Learning using a major framework such as PyTorch or TensorFlow.

Company info

  • Our goal is to revolutionize the field of robotics, enabling long-horizon dexterous behaviors to be efficiently taught, learned, and improved over time in diverse, real-world environments with people.Our team has deep cross-functional expertise across hardware, simulation, perception, controls, and machine learning.
  • If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let's talk about how we can create the next generation of AI-powered capable robots together!
  • Work as part of a dynamic, closely-knit research team building useful robots and general-purpose robot foundation models.
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