Machine Learning Research Scientist, Post-Training

San Francisco, CAfull timeOn Site

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$181k–$226k

H1B: yes

Scale AI Machine Learning Research Scientist at Scale AI focusing on optimizing data curation and evaluation to enhance LLM capabilities in text and multimodal modalities. Develop novel post-training techniques and collaborate with researchers and engineers to define best practices in data-driven AI development.

Responsibilities

Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
Design and experiment new approaches to preference optimization.
Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
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.
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
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

Active within the past hour

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Must-Have Skills for This Role

LLM post-trainingSFTRLHFreward modelingpreference optimizationdeep learning

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