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Kilian Lieret

AI Research Scientist, Meta Superintelligence Labs (joined February 2026), Meta

  • AI Research Scientist, Meta Superintelligence Labs (joined February 2026), Meta162

Kilian Lieret is an AI Research Scientist at Meta Superintelligence Labs, which Lieret joined in February 2026. Lieret is the first author of SWE-sweep, a Meta benchmark that asks agents to discover and repair as many bugs as they can in a real repository. Before Meta, Lieret was at Princeton University researching agentic AI for software engineering and graph neural networks for high energy physics, and co-authored SWE-agent and SWE-smith.12345

At a glance

Current role
AI Research Scientist, Meta Superintelligence Labs (joined February 2026)
Company
Meta
Sector
Company
Education
Princeton
Work listed
3
Sources cited
6
Profile reviewed

Career

At Princeton University, Lieret researched graph neural networks for particle tracking in high energy physics experiments, giving talks on object condensation pipelines in 2023, and then agentic AI for software engineering. Lieret joined Meta FAIR as an AI Research Scientist in February 2026, and Lieret's site now gives the role as AI Research Scientist at Meta Superintelligence Labs.1

Software engineering agents

Lieret co-authored SWE-agent (2024) with John Yang, Carlos E. Jimenez, Ofir Press and others, and SWE-smith (2025), which was accepted as a NeurIPS 2025 spotlight. Lieret's site also lists mini-swe-agent (July 2025), the CodeClash benchmark (November 2025) and ProgramBench (May 2026).451

SWE-sweep, released by Meta with Lieret as first author and John Yang as last author, asks agents to discover and repair bugs in real repositories without hints. Its scoring runs hidden tests per bug and scores a task as zero if the agent's patch breaks previously passing tests.23

Work and contributions

  • SWE-sweep Open-source code

    First-listed author of SWE-sweep, a benchmark in which agents must find and fix bugs in large codebases without hints about bug type or location.23

  • SWE-agent Open-source code

    Co-author of the 2024 SWE-agent paper on agent-computer interfaces for automated software engineering; Lieret's site notes the SWE-agent 1.0 release in February 2025.41

  • SWE-smith and mini-swe-agent Open-source code

    Second author of SWE-smith (2025), on scaling training data for software engineering agents, and a developer of the minimal mini-swe-agent released in July 2025.51

Timeline

  1. Presented an object condensation pipeline for charged particle tracking at CHEP.1
  2. Co-authored the SWE-agent paper on agent-computer interfaces for software engineering.4
  3. Co-authored SWE-smith, on scaling data for software engineering agents.5
  4. Released mini-swe-agent, a minimal software engineering agent.1
  5. Joined Meta FAIR as an AI Research Scientist.1
  6. Released ProgramBench, a software engineering benchmark.1

Other documented roles

Roles the sources document that are not confirmed as current.

  • Researcher in agentic AI for software engineering and graph neural networks for high energy physics, Princeton University1

Where they work

  • Meta 106 people in the wiki

Suggest a correction or removal

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References

6 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026

  1. Kilian Lieret — personal site (news, research)Kilian Lieret · Official page · accessed Oct 22, 2026
  2. SWE-sweep — project site (authors and affiliations)SWE-sweep · Official page · accessed Oct 22, 2026
  3. facebookresearch/swe-sweep README (citation and evaluation)facebookresearch (GitHub repository) · Repository · accessed Oct 22, 2026
  4. SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering (arXiv 2405.15793)arXiv · Paper · published May 6, 2024 · accessed Oct 22, 2026
  5. SWE-smith: Scaling Data for Software Engineering Agents (arXiv 2504.21798)arXiv · Paper · published Apr 30, 2025 · accessed Oct 22, 2026
  6. klieret (Kilian Lieret) on GitHubGitHub · Official page · accessed Oct 22, 2026