Scale AI · 1 day ago
Machine Learning Research Scientist / Research Engineer, Post-Training
Seattle, WA
Full-time
Onsite
Senior Level
$252K/yr - $315K/yrScale AI is a company that partners with leading AI labs to enhance generative AI research through high-quality data. They are seeking Research Scientists and Research Engineers specializing in post-training techniques for large language models to optimize data curation and evaluation, enhance model capabilities, and collaborate with top foundation model labs.
Artificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
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
Qualification
Required
Expertise in LLM post-training (SFT, RLHF, reward modeling)
Ability to optimize data curation and eval to enhance LLM capabilities in both text and multimodal modalities
Develop novel methods to improve the alignment and generalization of large-scale generative models
Collaborate with researchers and engineers to define best practices in data-driven AI development
Partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models
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
Preferred
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
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
Founded in 2016
501-1000 employees
H1B Sponsorship
Scale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (82)
2024 (54)
2023 (29)
2022 (17)
2021 (10)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
Leadership Team
Jason Droege
Interim Chief Executive Officer
Dennis Cinelli
Chief Financial Officer
Recent News
Crunchbase News
2026-01-07
Company data provided by crunchbase