Tri Source International

Tri Source International

AI Resident - Learning From Videos (LFV)

Los Altos, CA

Sponsorship not specifiedDetected 128 days ago
AlgorithmsMachine LearningDeep LearningComputer VisionRoboticsElectrical EngineeringResearchCommunicationCollaboration

About the role

  • Our research interests include, but are not limited to:

Responsibilities

  • Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications.

Requirements

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
  • Strong communication skills and a collaborative mindset, with the ability to learn quickly and contribute to team research efforts.
  • Exceptional candidates with equivalent research experience (e.g., strong publication record, open-source contributions, or industry research experience) are encouraged to apply.
  • Strong background in computer vision and its applications to robotics and embodied systems.
  • Demonstrated research experience through publications, technical projects, or open-source contributions.
  • Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation.
  • Bonus Qualifications
  • Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc.
  • Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
  • Application of machine learning and computer vision to embodied applications.

Nice to have

  • 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.

Skills

  • Video Generation
  • World Models
  • 4D Reconstruction
  • Multi-Modal Models
  • Multi-View Geometry
  • Data Augmentation
  • Video-Language-Action Models
  • 4D World Models
  • Physical and Embodied Intelligence
  • Multi-Modal Learning

Compensation

  • The pay range for this position at commencement of employment is expected to be between $45 and $60/hour for California-based roles.

Benefits

  • Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning.
  • Contribute innovative solutions at the intersection of machine learning, computer vision, and robotics to improve real-world task performance.
  • Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
  • by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding.

Company info

  • The Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance.
  • Our approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding.
  • We focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.
  • The AI Resident
  • This year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI.
  • The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:
  • As an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization.
  • This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems.
  • We welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility.
  • We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.
Apply directly at Tri Source International →Create a free account for alerts like thisView Tri Source International immigration profile

This listing is sourced directly from Tri Source International's careers page and normalized into a canonical job model.