Ryan Li
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Ryan Li Email & Phone Number

Machine Learning Researcher, Foundation Models at Tesla
Location: Stanford, California, United States 9 work roles 2 schools
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✓ Verified Jun 2026 3 data sources Profile completeness 86%

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Current company
Role
Machine Learning Researcher, Foundation Models
Location
Stanford, California, United States
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Who is Ryan Li? Overview

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Quick answer

Ryan Li is listed as Machine Learning Researcher, Foundation Models at Tesla, a company with 76101 employees, based in Stanford, California, United States. AeroLeads shows a matched LinkedIn profile for Ryan Li.

Ryan Li previously worked as Graduate Student Researcher at Stanford University and Course Assistant at Stanford University. Ryan Li holds Master'S Degree, Computer Science from Stanford University.

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Tesla

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Profile bio

About Ryan Li

I'm currently a Course Assistant and a Graduate Student Researcher at Stanford UniversityPreviously, I worked as an undergrad research assistant at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I am passionate, committed, and always looking for opportunities to make real-world impacts. My research currently focuses on NLP and Social Computing.I am skilled in natural language processing, full-stack engineering, distributed systems, relational databases, & microservices; and I'm always looking forward to learning new skills and facing new challenges!

Current workplace

Ryan Li's current company

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Tesla
Tesla
Machine Learning Researcher, Foundation Models
Stanford, CA, US
Website
Employees
76101
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9 roles

Ryan Li work experience

A career timeline built from the work history available for this profile.

Machine Learning Researcher, Foundation Models

Stanford, CA, US

Course Assistant

Current

Stanford, California, United States

Sep 2023 - Present

Graduate Student Researcher

Current

Stanford, California, United States

Sep 2023 - Present

Cs Systematic Equities

New York, United States

  • Interned at the Real-Time Trading (RTT) platform, Citadel Securities’ core trading engine.
  • Designed and implemented centralized initialization & health monitoring component for efficient RTT quoter bootstrap.
  • Implemented low-latency, pre-flight trading health check mechanism with lock-free data structure, cache awareness, and bit manipulation in C++.
  • Collaborated with stakeholders to integrate the solution firm-wide, impacting thousands of quoters and services across the firm.
Jun 2024 - Aug 2024

Software Engineer Intern

San Jose, California, United States

  • Designed and implemented data ingestion pipelines via Golang that allow users to apply customizedschematization process on difference source types
  • Implemented endpoints to support CRUD operations on user-defined SPL2 schematization rulesets
  • Integrated schematization pipelines with existing services and developed a CICD pipeline to test the systemon Kubernetes before publishing
Jun 2023 - Sep 2023

Research Assistant

Seattle, Washington, United States

I worked under Prof. Amy X. Zhang in Social Futures Lab to build a taxonomy on the harm of misinformation on social media.I also worked with Prof. Tao Yu and Prof. Noah Smith on a project about generating interactive interfaces from natural language inputs.

Feb 2021 - Jun 2023

Software Engineer Intern

Seattle, Washington, United States

  • Designed and implemented a multi-head model for Wit.ai, Meta’s third-party developer platform that provides NLP services for free, using a RoBERTa-based language model as the encoder and multiple MLP decoders to decode.
  • Implemented a complete training pipeline via PyTorch Lightning and ran k-fold benchmarks on live Wit.ai domains; the multi-trait model yielded comparable results with the existing single-trait models while saving.
  • Integrated the multi-trait model with Wit.ai’s Lite Training and Lite Compute systems
  • Implemented a full-stack tagging system for Data Diffs, a source-control system for Assistant Studio’s NLP training data, with React.js and PHP/Hack to facilitate better data management
  • Hooked the tags with a backend reaper to prevent important Data Diffs from being reaped
Jun 2022 - Sep 2022

Software Engineer Intern

China

  • Designed and implemented a Spring Boot application from scratch that parses through and validates REST API endpoints to enforce conformity to standard REST API protocols and facilitate best practices for API design.
  • Scheduled automatic execution of the validation job on a weekly basis via Spring Quartz and sent the results to project directors with JavaMail (javax.mail)
  • Designed a microservice for metadata management and implemented all CRUD operations with Spring Cloud, MyBatis, JSON-Java (org.json), and Apache POI
  • Experience with API Gateways, Jenkins, Nacos; abundant experience with Bean, dependency injection, auto-wiring, and other features of the Spring framework
Jul 2021 - Aug 2021
Team & coworkers

Colleagues at Tesla

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2 education records

Ryan Li education

FAQ

Frequently asked questions about Ryan Li

Quick answers generated from the profile data available on this page.

What company does Ryan Li work for?

Ryan Li works for Tesla.

What is Ryan Li's role at Tesla?

Ryan Li is listed as Machine Learning Researcher, Foundation Models at Tesla.

Where is Ryan Li based?

Ryan Li is based in Stanford, California, United States while working with Tesla.

What companies has Ryan Li worked for?

Ryan Li has worked for Tesla, Stanford University, Citadel Securities, Splunk, and University Of Washington.

Who are Ryan Li's colleagues at Tesla?

Ryan Li's colleagues at Tesla include Tathagata Paul, Viraj Patel, Miss Joé Gautier, John Cavaliere, and Daniel M Hummel, Iv.

How can I contact Ryan Li?

You can use AeroLeads to view verified contact signals for Ryan Li at Tesla, including work email, phone, and LinkedIn data when available.

What schools did Ryan Li attend?

Ryan Li holds Master'S Degree, Computer Science from Stanford University.

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