Artificial intelligence
10 Anthropic reinforcement learning researchers
These ten current Anthropic reinforcement learning researchers hold research or technical staff roles at the company that involve reinforcement learning. A reader can learn what reinforcement learning research at Anthropic involves from people who have done it.
Professionals to explore
01—10Andy J.
LinkedInExperience: Member Of Technical Staff · Anthropic
Member Of Technical Staff at Anthropic since 2021; their profile summary describes them as an engineer-researcher working on language models, RL, scaling laws and safety. Andy J. was Founder of cartograph.ai (2019–2021) and Researcher at GSA (2015–2019), according to their profile.
Antoine Barge
LinkedInExperience: Member of Technical Staff · Anthropic
Member of Technical Staff at Anthropic since 2025; their profile summary describes them as a research engineer at Anthropic working on RL. Antoine Barge was Member of Technical Staff at Character.ai (2024–2025) and Staff Software Engineer at SliceX AI (2021–2024), according to their profile.
Evan Cox
LinkedInExperience: Member of Technical Staff · Anthropic
Member of Technical Staff at Anthropic since 2024; a highlight says they currently support teams focused on scaling reinforcement learning. Evan Cox was Engineering Manager for model development, inference and GenAI infrastructure at Netflix (2020–2024), according to their profile.
Haochen Zhang
LinkedInExperience: Member of Technical Staff · Anthropic
Member of Technical Staff at Anthropic since 2024, a role a highlight describes as work on RL and post-training of Claude models. Haochen Zhang is listed with a PhD in Computer Science at Stanford University (2019–2024) and visiting researcher roles at Vector Institute and MIT.
John Boccio
LinkedInExperience: Member of Technical Staff · Anthropic
Member of Technical Staff at Anthropic since 2026; their profile summary says they work on RL for Claude. John Boccio was Member of Technical Staff at SpaceXAI (2024–2026) and Machine Learning Engineer at Apple (2023–2024), according to their profile.
Mukund Sudarshan
LinkedInExperience: Member of Technical Staff · Anthropic
Member of Technical Staff at Anthropic since 2025, a role a highlight describes as long context reinforcement learning. Mukund Sudarshan was Member of Technical Staff at Character.ai (2025) and Co-founder and CTO of Quilt Labs Inc (2023–2024), according to their profile.
Ruhua J.
LinkedInExperience: Member of Technical Staff · Anthropic
Member of Technical Staff at Anthropic since 2023, a role a highlight describes as training Claude with reinforcement learning on large language models and leading research efforts. Ruhua J. was Staff Machine Learning Engineer at Twitter (2017–2023), according to their profile.
Shauna Kravec
LinkedInExperience: Member Of Technical Staff · Anthropic
Member Of Technical Staff at Anthropic since 2022, a role a highlight describes as reinforcement learning with large language models. Shauna Kravec is also listed as Chief Executive Officer of Hofvarpnir Studios since 2021 and was Machine Learning Engineer at Clostra, Inc. (2021).
Xiaoyong Liang
LinkedInExperience: Research Engineer · Anthropic
Research Engineer at Anthropic since 2025, a role a highlight ties to RL and post-training, and their summary mentions RL environment work at Anthropic. Xiaoyong Liang was Tech Lead at Apple (2018–2023), working on spatial understanding for Apple Vision Pro, according to their profile.
Yuntao Bai
LinkedInExperience: Member Of Technical Staff · Anthropic
Member Of Technical Staff at Anthropic since 2021; a highlight says they are lead author of Anthropic's RLHF and Constitutional AI papers. Yuntao Bai was Sherman Fairchild Postdoctoral Fellow at Caltech (2018–2021), according to their profile, and has been at Anthropic since 2021.
Choose the right perspective
Match the person's focus to your question, since RL environments, long-context RL, RL scaling and RLHF research are different kinds of work. Check how long they have been at Anthropic and where they worked first, since that shapes the perspective they bring.
Questions to take into the conversation
- 01How does reinforcement learning for a language model differ from classic RL work on games or robotics?
- 02What makes an RL environment or reward signal trustworthy enough to train against?
- 03Which open problems in reinforcement learning for large models seem most important to you right now?
Reaching Anthropic reinforcement learning researchers
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About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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