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Anthony Chen

@anthonychen

Senior machine learning engineer at Google, contributing to Gemini coding models and research on model-generated code.

At Google, I contribute to research and engineering for Gemini coding models across pre-training, post-training, and test-time inference. I run experiments on code training data and share model-quality results with the research group.

At Scale AI, I coauthored research on reward-model reliability under distribution shift and the CSIS–Scale AI CFPD Benchmark evaluating seven LLMs on foreign-policy scenarios. Before that, I spent four years at Amazon Web Services building and deploying custom machine-learning and computer-vision solutions for enterprise customers.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Google

Dec 2025 - Present (11 months)

Contributes to research and engineering for Gemini coding models across pre-training, post-training, and test-time inference. Runs experiments on code training data and supports recursive self-improvement research.

Python PyTorch Jax LLM Training RLHF Reward Models Test Time Inference Data Mixtures Deduplication Benchmark Contamination Unit Testing Probability Calibration

Senior Machine Learning Research Engineer

Scale AI

Jul 2023 - Nov 2025 (2 years 4 months)

Coauthored research on reward model reliability under distribution shift and a benchmark with CSIS evaluating LLMs on foreign-policy decisions. Built multilingual test sets and contributed to the evaluation pipeline.

Python PyTorch Hugging Face Transformers Opus MT Reward Models RLHF Benchmark Design AUROC FPR@95 LLM Evaluation GPT 4o Claude Sonnet 3.5 Gemini 1.5 Pro LLaMA 3.1

Data Scientist / Machine Learning Engineer (L5)

Amazon Web Services

Oct 2020 - Jun 2023 (2 years 8 months)

Designed end-to-end ML solutions for enterprise customers, built reusable components, and trained custom deep learning and computer vision models. Deployed models for real-time and batch inference.

Python PyTorch TensorFlow AWS Sagemaker Lambda S3 Transfer Learning Computer Vision Deep Learning Model Deployment Monitoring

Machine Learning Associate (L4)

Amazon Web Services

Aug 2019 - Oct 2020 (1 year 2 months)

Built custom models and end-to-end ML solutions for AWS customers, including feature engineering and model validation workflows.

Python scikit learn Feature Engineering Model Validation AWS

NLP / Machine Learning Research Intern

Smart Information Flow Technologies

Jan 2019 - Aug 2019 (7 months)

Coauthored a paper on gender bias in word embeddings and developed NLP models for detecting hostile intent in online text.

Python NLP Embeddings Text Classification Machine Learning

Undergraduate Teaching Assistant

University of Minnesota

Jan 2018 - May 2019 (1 year 4 months)

Ran labs, office hours, and grading for computer science courses including Machine Architecture, Linear Algebra, and C/C++.

Teaching C C++Computer Architecture Linear Algebra

Undergraduate Research Assistant

University of Minnesota

Jan 2018 - May 2019 (1 year 4 months)

First-authored a workshop paper on dynamic battery thresholds in robot swarms and wrote C++ simulations in ARGoS.

C++Argos Swarm Simulation

Machine Learning / AI R&D Intern

Optum Technology

Jun 2018 - Aug 2018 (2 months)

Built a provider graph database and used social network analysis to identify potential healthcare fraud rings. Developed a ranking system with a semi-supervised feedback loop.

Python Graph Databases Social Network Analysis Machine Learning Semi Supervised Learning Image Recognition