Machine Learning Research Scientist, Evaluations

San Francisco, CAfull timeOn Site

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$181k–$226k

H1B: yes

Scale AI Machine Learning Research Scientist at Scale AI focusing on building benchmarks and diagnosing failure modes in LLMs and multimodal models. Develop rigorous evaluations and collaborate with researchers and engineers to define best practices in evaluation-driven AI development.

Responsibilities

Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA.
Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities.
Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them.
Publish research findings in top-tier AI conferences.
Ideally you’d have:
Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development.
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.

Qualification

PhDeep understanding of deep learning

Required

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field
Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning
Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development
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

Benefits

Dental
Vision
PTO
Equity/RSU

Company

Scale AI

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Source: greenhouse

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Must-Have Skills for This Role

LLM post-trainingSFTRLHFreward modelingbenchmark developmentevaluation

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