Tri Source International

AI Research Scientist, Adaptive Behavior Systems

Los Altos, CA · Senior

Sponsorship not specifiedDetected 259 days ago

PythonMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionLLMsA/B TestingProject ManagementRoboticsResearch

About the role

We are looking for an AI Research Scientist or Senior AI Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation, and benchmarking.
This role operates at the forefront of generative machine learning and human behavior modeling.

Collaborate cross-functionally with researchers in multiple fields, as well as university partners.
Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders.

Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems.
Ability to work collaboratively across disciplines and functions.
Ability to balance multiple projects, including short-term and those that may span several years.
Demonstrated ability to work autonomously while soliciting feedback.
PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus.
A strong publication record in ML, NLP, deep learning, or related fields.
Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature.
Proficiency in Python and modern deep learning frameworks such as Pytorch or Tensorflow
Strong project management skills and desire to work on cutting-edge open-ended research projects.
Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end.
Strong interpersonal skills. Great teammate.
Bonus Qualifications
Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing.

Previous experience in human modeling (both cognitive and behavioral) with generative AI.
Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science).
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
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.
Industry experience is a plus.

For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.

The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles.

Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI.
Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior.
Stay up to date on the state-of-the-art in machine learning theories, methods and tooling.

TRI's Adaptive Behavior Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions.
To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.

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