Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships.
Translate benchmark insights into clear, compelling narratives for customer-facing presentations, technical reports, and go-to-market materials.
Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements.
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded in 2019 out of Stanford AI Lab, it works with leading AI labs and enterprises to move from better data to better outcomes.
Own Open Benchmarks Grants end-to-end, leading operations for Snorkel’s $30M commitment to open benchmarks.
Lead external research partnerships and manage budgets, resources, and cross-functional execution.
Build and scale a multi-year research program, measuring impact to improve future cycles.
Snorkel AI is a frontier AI data lab that helps teams build datasets, benchmarks, and evals for high-performing AI systems. Founded out of Stanford AI Lab in 2019, the company works with leading AI labs and enterprises, offering a fast-paced, collaborative high-growth culture.
Design, build, and maintain cybersecurity benchmarks for AI within evaluation infrastructure using Inspect.
Sandbox and harden evaluation environments to prevent AI escape and maintain security.
Integrate with AI providers to run benchmarks and collaborate with researchers for accurate, insightful outputs.
Epoch AI investigates trends in machine learning and the economic consequences of AI, developing a comprehensive knowledge base for policymakers. The research institute is committed to inclusive, equitable community and produces rigorous, accessible work on compute trends, data scarcity, and algorithmic progress.
Build evaluation frameworks for AI agents, including datasets and metrics for real-world task performance.
Design experiments to compare models and tools, identifying regressions and trade-offs.
Investigate agent failures and improve performance across models, harnesses, and tooling.
Gauntlet builds the financial systems of the future, operating across the onchain finance stack to offer vault products. They serve over $1.7B in client TVL across fintechs, protocols, exchanges, and capital allocators, combining traditional finance and crypto-native expertise.
Design evaluations of conceptual reasoning in AI safety, covering governance, alignment, macrostrategy, and economics.
Develop rubrics that separate genuine reasoning from plausible-sounding filler.
Iterate on tasks with frontier models and collaborate with a top research team.
Trajectory Labs is a startup automating AI safety research. We build safety and alignment evals, red-teaming programs, and RL environments for frontier AI labs. As a one-year-old company, we've been featured in major frontier lab safety reports and led high-impact red-teaming efforts.
Define the long-term technical vision for AI/LLM offense and drive its integration into NodeZero's autonomous pentesting platform.
Lead research and productization of attacks on LLM applications, agentic systems, and AI infrastructure.
Partner with senior leadership to shape strategy, standards, and execution across engineering teams.
Horizon3 is a fast-growing, remote cybersecurity company building NodeZero, an autonomous pentesting platform. The team is a fusion of Special Operations cyber operators and startup engineers, with a culture of respect, collaboration, and results.
Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Design end-to-end LLM evaluation plans for business scenarios such as dialogue and financial trading.
Build evaluation metric systems, rubrics, and high-quality datasets with credible, reproducible conclusions.
Analyze model limitations, automate evaluation workflows, and collaborate to drive model improvement.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in more than 100 countries, the company offers a fast-paced, results-driven culture with a flat structure and world-class talent.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and EDA.
Define evaluation criteria and agent architectures for multi-step engineering workflows.
Build benchmarks and diagnostics to identify model failures and trace back to gaps in data or agent design.
Mistral is a full-stack AI company building frontier models, developer tools, and compute for enterprises. We are a diverse, dynamic team distributed globally, passionate about AI and committed to low-ego collaboration and innovation.
Design and build AI-powered tools to decode complex biology and accelerate pharmaceutical research.
Develop reliable, scalable systems with LLMs, agents, and data pipelines in a fast-paced environment.
Collaborate with scientists and engineers to give biomedical researchers intuitive, powerful tools.
Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology. It offers a friendly and informal working environment with an international team of high technical and scientific backgrounds.
Explore an open research question in AI and software engineering, from domain-specific languages to LLM security.
Choose a topic matched to your level (beginner, intermediate, advanced) and study solo or in a pair.
Present your results as a research report, prototype, or concept, earning a certificate and potential publication credit.
Constructor Tech and Constructor Labs, together with Constructor University, invite students to a 2-month educational research program focused on AI and software platforms. The program offers mentorship from researchers and engineers, with opportunities for academic credit and publication in a small, research-driven setting.