Trevor Howarth in

Trevor Howarth

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Director of Machine Learning, Public Sector at Scale AI
📍 San Francisco, California, United States

Trevor Howarth is the Director of Machine Learning for the Public Sector at Scale AI, where he leads the development and deployment of agentic AI for government applications. A graduate of Stanford University with both a Masters and Bachelors degree, he has a strong background in computer vision, mathematics, and software development.

He has co-authored recent research papers on measuring diplomatic preferences and biases in large language models, highlighting his focus on the real-world application and implications of AI in high-stakes national security environments.

While at Stanford, he won the Centennial Teaching Award for his outstanding performance as a teaching assistant in the Physics department.

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Experience
6 Years
Current Role
Director of Machine Learning, Public Sector
Job Level
Mid-senior
Location
San Francisco, California, United States
Personality Overview

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Priorities

Topics Trevor cares about

AI in Public Sector
Leads Scale AI's public sector machine learning organization, focusing on deploying cutting-edge AI solutions and agentic architectures for government customers and national security.
Agentic AI
His team is actively building and shipping AI agents into production at scale, focusing on developing reliable systems for critical decisions, particularly in defense.
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Career

Work history

12-2025
Director of Machine Learning, Public Sector
Scale AI
6-2025 - 2-2026
Head of Machine Learning, Public Sector
Scale AI
4-2024 - 6-2025
Staff Machine Learning Engineer/Engineering Manager
Scale AI
12-2021 - 7-2022
Senior Research Engineer
Luna Solutions
11-2019 - 12-2021
Research Engineer
DITTO
In the press

Media appearances

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Education
2017 - 2018
Master's degree
Stanford University
2013 - 2017
Bachelor’s Degree
Stanford University
Social presence
in
Behavioral profile

DISC profile (public)

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