Machine Learning Research Scientist, Post-Training

Scale works with the industry’s leading AI labs to provide high‑quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post‑training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities.

• 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 with 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.

• 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.

Base salary range for this full‑time position in the locations of San Francisco, New York, Seattle: $252,000—$315,000 USD
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Employees receive base salary, equity and benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend.

Scale is an inclusive and equal‑opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at