Tech Stack
Responsibilities
- Identify high-impact gaps in existing benchmark and evaluation literature and design novel benchmarks in and across STEM fields.
- Develop methods for generating high-quality synthetic STEM training data and study downstream performance impacts.
- Study hallucination, uncertainty, calibration, and epistemic failure in technical domains to improve factual reliability.
- Research and evaluate long-horizon scientific agents and workflows capable of performing extended scientific work.
- Propose and launch ambitious new research programs in areas such as reasoning, model evaluation, and AI-for-science.
Benefits
- Equity
Culture
Startup EnergyImpact-OrientedInclusive Hiring
Requirements
Required: PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
Regions: Us
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About Turing
Industry: saas
Size: medium
Turing works with frontier AI labs and Fortune 500 enterprises to generate high-quality datasets, reinforcement learning environments, and build agentic AI systems inside mission-critical workflows.
View company profile →Compensation
Base salary: $250,000 USD
Equity: Equity mentioned
Bonus: OTE (On Target Earnings)
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