Research Lead, Open Benchmarks Grants
Lead the development of frontier benchmarks and datasets in a highly visible, customer-facing role at Snorkel AI.
Posted by employer 5 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
What you'll build
- Design state of the art datasets
- Translate benchmark insights into narratives
- Work cross-functionally with teams
- Stay at the frontier of LLM evaluation research
- Represent Snorkel's research externally
Must have
- Strong research background in AI/ML evaluation
- Exceptional communication skills
- Comfort operating in a fast-moving environment
Nice to have
- Genuine interest in GTM strategy
- Ph.D. in machine learning or related field
Requirements
- Education
- PhD
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the Research Lead will focus on designing advanced datasets and benchmarks that enhance AI model training and evaluation, collaborating closely with academic partners and internal teams. Key skills include a strong background in AI/ML evaluation and exceptional communication abilities to convey complex findings to diverse audiences. This position is well-suited for experienced professionals with a Ph.D. or equivalent expertise, particularly those interested in the intersection of research and commercial strategy. Snorkel AI offers a dynamic environment where cross-functional collaboration is essential.
Joblaze insights
Quick facts
- Is the Research Lead, Open Benchmarks Grants role remote?
- It's hybrid — Snorkel AI expects some on-site time in New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote).
- Where is the role based?
- Snorkel AI is hiring for this position in New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote).
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, NLP.
- What seniority level is this role?
- Snorkel AI targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Lead, Open Benchmarks Grants role at Snorkel AI.
From the original posting
About Snorkel
About Open Benchmarks Grants
Open Benchmarks Grants is Snorkel’s $30M commitment to fund and support researchers and independent builders developing new AI evaluations. We support the teams behind Terminal-Bench, OSWorld 2.0, and Senior SWE-bench, and run a Research Fellows program for PhD students and postdocs. The program funds work in areas including physical AI, scientific discovery, cybersecurity, safety, and alignment, and helps teams test and strengthen their benchmarks before public release.
What you’ll do
- Shape our research bets in open benchmarks & evaluation. Identify gaps in how frontier AI is evaluated. Review proposals with Snorkel’s senior researchers, work with prospective collaborators to strengthen their ideas, and help decide where we allocate our Open Benchmark Grants.
- Advance frontier evaluation research with our research partners. Work alongside grantees, Research Fellows, and Snorkel research leads to define what each benchmark measures, design tasks and experiments, and turn learnings into artifacts that other researchers can build on.
- Drive adoption and scientific exchange with frontier labs. Work directly with lab researchers to understand what they need to measure, help them integrate and interpret the benchmarks we support, and use their findings to inform subsequent research.
What we’re looking for
- A research track record in evaluation. You’ve led or made substantial contributions to benchmarks, evaluation methods, or environments that researchers or model-development teams use.
- Technical judgment about quality & experimental rigor. You can assess whether an evaluation measures what it claims, recognize alternative explanations for a result, and design experiments that resolve the uncertainty. You know which limitations matter enough to change the research direction.
- Hands-on technical depth. You’re comfortable moving between research questions and implementation: building experiments, inspecting tasks and harnesses, debugging verifiers, and analyzing model behavior.
- The ability to lead through research collaboration. You’ve helped other researchers make difficult technical decisions and bring work to completion.
- Clear technical communication. Your papers, research artifacts, specifications, or reviews make complex ideas understandable and claims precise.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Be Your Best at Snorkel
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