Mike Lambert
Mike Lambert is a software engineer and AI researcher whose work spans recommendation systems and language-model safety. He studied EE/CS at MIT, worked as a software engineer at YouTube and Google, built DanceDeets, and worked on bikes and scooters at Lyft. In 2024, he contributed core training infrastructure to Sleeper Agents and coauthored Many-shot Jailbreaking. His foundational research informed Anthropic’s 2025 advanced tool use on the Claude Developer Platform. He is a Member of Technical Staff at Anthropic and describes himself as learning machine learning and AI with an interest in alignment.
Timeline
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2000–2004
Undergraduate at MIT
He is an undergraduate in EE/CS at MIT from 2000 to 2004.
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January 2008–February 2015
Software engineer at YouTube
In 2008, he works as a software engineer in San Francisco at YouTube and starts taking hip-hop choreography, breaking and salsa classes. In 2010, he is one of 11 authors of The YouTube video recommendation system, presented at the Fourth ACM conference on Recommender systems.
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2010–2018
Building DanceDeets
In 2010, he moves to New York City and launches DanceDeets, a website for street-dance events. From 2015, he takes the project more seriously and releases mobile apps; by March 2017, it lists over 150,000 events. He creates and operates the platform as CEO/developer from 2011 to 2018.
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2015–2018
Software engineer at Google
From 2015 to 2018, he works as a software engineer at Google.
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June 2018–June 2022
Bikes and scooters at Lyft
From June 2018 to June 2022, he is a principal software engineer at Lyft and works on transit bikes and scooters.
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January 2024
Core infrastructure for Sleeper Agents
In January 2024, he is a core research contributor to Sleeper Agents, an Anthropic study showing that backdoor behavior can persist through standard safety training. He helps develop the project’s core infrastructure to train the backdoored models.
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2024
Many-shot Jailbreaking at NeurIPS
In 2024, he coauthors Many-shot Jailbreaking, published in Advances in Neural Information Processing Systems 37. The study examines long-context attacks that prompt language models with hundreds of demonstrations of undesirable behavior.
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As of October 2026
Member of Technical Staff at Anthropic
He is a Member of Technical Staff at Anthropic. In 2025, his foundational research informs advanced tool use on the Claude Developer Platform. He describes himself as learning machine learning and AI with an interest in alignment.
Career
- 2011–2018DanceDeetsCEO/developer
- AnthropicCore research contributor
Education
Sources and credits
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- Mike Lambert | alphaXiv
- The DanceDeets Story - by Mike Lambert
- The YouTube video recommendation system
- mikelambert (Mike Lambert) · GitHub
- [2401.05566] Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
- Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training (HTML full text)
- Many-shot Jailbreaking
- Individual Signatories - Call for red lines to prevent unacceptable AI risks
- Introducing advanced tool use on the Claude Developer Platform