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Salary: USD 250,000 - 350,000 / annual
Turing is seeking exceptional Senior Research Scientists to join its STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication.
The research team focuses deliberately on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. You will work on four core research areas:
**Frontier Benchmarks and Evaluation:** Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.
**Synthetic Data and Post-Training:** Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.
**Hallucination, Reliability, and Verification:** Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.
**Agentic Science:** Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration.
You will also have significant latitude to propose new research programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities.
Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows.
Success in this role might include: identifying a major capability that existing benchmarks fail to measure and creating the benchmark that becomes the standard for evaluating it; discovering a failure mode in current synthetic-data pipelines and developing a method that materially improves post-training; building a new evaluation that changes how frontier labs understand hallucination, reasoning, or scientific capability; developing an agentic workflow that substantially advances performance on complex scientific research tasks; or launching an entirely new research direction that grows into a major program within Turing.
**Requirements:**
- PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
- Demonstrated ability to formulate and execute original research
- Strong understanding of modern LLMs and the frontier AI research landscape
- Excellent experimental design, quantitative reasoning, and scientific judgment
- Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas
- Strong Python skills and the ability to independently build research prototypes and evaluation pipelines
- Excellent technical writing and communication
- Comfort working in a fast-moving environment where the research agenda evolves with the frontier
The company values a strong publication record but cares most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter.
This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle.
