Staff Machine Learning Research Scientist, LLM Evals Job at Scale (San Francisco)

Job Description

As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.

Job Responsibility

Drive research on the effectiveness and limitations of existing LLM evaluation techniques
Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols
Implement scalable and reproducible evaluation pipelines using modern ML frameworks
Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives
Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects
Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Requirements

5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience tech leading a team of research scientists and research engineers
Excellent written and verbal communication skills
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
Previous experience in a customer facing role.

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend (may be eligible).

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Staff Machine Learning Research Scientist, LLM Evals

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