AI Researcher

Alek Dimitriev

Member of Technical Staff at Anthropic, working on Claude inference and performance.

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Alek Dimitriev

Building one machine god after another

I am a member of technical staff at Anthropic, working on inference. Previously, I was a machine learning engineer at Google, working on Gemini finetuning and inference. Before that, I did my PhD in machine learning at UT Austin, advised by Prof. Mingyuan Zhou, where I did research in backpropagating through discrete variables in deep learning.

In my free time I like to read mostly non-fiction, and on rare occasions interview people about their work. You can watch my interview with Scott Aaronson on LLM watermarking, or read my interview with Richard Dawkins on the future of religion & skepticism.

Research

2024

Gemini 1.5: Unlocking Multimodal Understanding Across Millions of Tokens of Context

Gemini Team

Technical Report

2023

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team

Technical Report

2021

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

Alek Dimitriev & Mingyuan Zhou

NeurIPS: Neural Information Processing Systems

2021

ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables

Alek Dimitriev & Mingyuan Zhou

ICML: International Conference on Machine Learning

Experience

Now

Anthropic

Member of Technical Staff

Inference and performance for Claude and its safeguards.

2025

Google

Senior Machine Learning Engineer

Gemini finetuning and inference for teams across Alphabet.

2022

University of Texas at Austin

PhD in Machine Learning

Dissertation on gradient estimation for discrete variables via dependent Monte Carlo samples. Advised by Prof. Mingyuan Zhou.

Conversations

Scott Aaronson

LLM Watermarking

A deep dive into the technical and philosophical challenges of watermarking large language model outputs, exploring the intersection of cryptography and AI safety.

Watch Interview

Richard Dawkins

Religion & Skepticism

An exploration of the future of religion and skepticism with one of the world's most influential evolutionary biologists and public intellectuals.

Read Interview

Library