PeopleofSuperintelligence

Researcher

Tyler Romero

Tyler Romero is a machine-learning researcher whose work spans language-model training, computer vision, preference tuning, and recommender systems. At Texas A&M, he received the Craig C. Brown Outstanding Senior Engineer Award in 2015 and graduated in 2016 with a computer engineering degree. He published a direct preference optimization explainer in 2024 and an extension to BADGE active learning in January 2025, wrote a Groundlight guide in May 2025, and coauthored Olmo 3 in December 2025. Olmo Hybrid outperformed Olmo 3 across standard pretraining and mid-training evaluations in April 2026; as of October 2026, he is a Member of Technical Staff on the MAI Superintelligence Team and works on post-training.

Now at
MAI Superintelligence Team
Badges

Timeline

  1. 2015

    Outstanding Senior Engineer Award

    At Texas A&M, he receives the Craig C. Brown Outstanding Senior Engineer Award in 2015.

  2. 2016

    Computer engineering degree

    He graduates from Texas A&M in 2016 with a degree in computer engineering.

  3. April 2024

    Explaining direct preference optimization

    In April 2024, he publishes a guide to Direct Preference Optimization, describing it as a preference-tuning method that avoids reinforcement learning.

  4. January 2025

    Extending BADGE active learning

    In January 2025, he publishes an extension to BADGE that supports variable-sized batches through a prioritized order of unlabeled data points.

  5. May 2025

    A Groundlight computer-vision guide

    In May 2025, he writes a guide to building computer-vision applications with Groundlight's MCP server as Lead ML Engineer.

  6. December 2025

    Olmo 3 and open training

    In December 2025, he coauthors Olmo 3, a fully open family of 7B and 32B language models whose model flow includes every training stage, checkpoint, data point, and dependency. At Ai2, he works as a Research Engineer on pretraining open language models; earlier, he builds large-scale recommender systems at Twitter and studies CS and ML at Stanford.

  7. April 2026

    Olmo Hybrid

    In April 2026, he coauthors Olmo Hybrid, a 7B model that replaces Olmo 3's sliding-window layers with Gated DeltaNet layers. The model outperforms Olmo 3 across standard pretraining and mid-training evaluations.

  8. As of October 2026

    Member of Technical Staff

    As of October 2026, he is a Member of Technical Staff on the MAI Superintelligence Team, where he works on post-training.

Career

  1. NowMAI Superintelligence TeamMember of Technical Staff
  2. 2025GroundlightLead ML Engineer
  3. From 2025Allen Institute for AI (Ai2)Research Engineer

Education

  1. 2016Texas A&M UniversityComputer Engineering
  2. Stanford University

From the biography.

  1. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Microsoft. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  2. Google had the most people shaping AI every year from 2014 to 2025Includes Microsoft. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Microsoft. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes Microsoft. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Tyler Romero yet. Send us a free-licensed photo.

  1. Tyler Romero - Craig & Galen Brown Foundation brownfound.org. Checked 21 October 2026.
  2. Direct Preference Optimization Explained In-depth tylerromero.com. Checked 21 October 2026.
  3. An Extension to BADGE Active Learning for Variable-Sized Batches tylerromero.com. Checked 21 October 2026.
  4. Building Computer Vision Applications with the Groundlight MCP Server groundlight.ai. Checked 21 October 2026.
  5. Tyler’s Technical Blog tylerromero.com. Checked 21 October 2026.
  6. [2512.13961] Olmo 3 arxiv.org. Checked 21 October 2026.
  7. [2604.03444] Olmo Hybrid: From Theory to Practice and Back arxiv.org. Checked 21 October 2026.