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Haizelabs

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5 open positions
Last updated Apr 15, 2026

Open Positions

5 jobs
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Haizelabs·New York City / San Francisco · New York

Applied Researcher

$175k–$265k/year
43
Low

About Haize Labs Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains. Haize Labs brings superintelligence to the long tail of these domains through our agent foundry, which enables

EngineeringOtherResearch EngineerMid
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0 0 0 6d ago
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Haizelabs·New York · New York / San Francisco

Product Slinger

$150k–$250k/year
43
Low

Product Slinger About Haize Labs Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains. Haize Labs brings superintelligence to the long tail of these domains through our agent foundry

EngineeringSoftware Engineer, Full StackMid
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0 0 0 7d ago
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Haizelabs·usNew York, United States

Staff+ Software Engineer, Backend and Infra

$200k–$300k/year
52
Low

Staff+ Software Engineer, Backend and Infra Haize Labs takes AI-based applications from proof-of-concept to production. We eliminate risk and improve the reliability of LLM-based applications by haizing them – i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for a tal

EngineeringBackend EngineeringLead
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0 0 0 13d ago
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Haizelabs·usNew York, United States

Software Engineer Intern

$100k–$125k/year
52
Low

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for Software Engineering Interns to help develop our reliability pla

EngineeringSoftware Engineer InternEntry
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0 0 0 13d ago
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Haizelabs·usNew York, United States

Research Intern

$125k–$200k/year
52
Low

Haize Labs haizes LLMs at scale. We are the robustness layer eliminating the risk of using language models in any setting. To prevent these systems from failing, we preemptively discover all the ways in which they can fail and continuously eliminate them in deployment. We are looking for Research In

OtherResearch InternEntry
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0 0 0 13d ago