Machine Learning Research Scientist, Post-Training

About the role

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).

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.

Requirements

• 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.

Qualifications

• Experience with data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities.
• Collaboration with researchers and engineers to define best practices in data-driven AI development.
• Partnership with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.

Skills

• Strong programming skills in Python, R, or other relevant languages.
• Knowledge of natural language processing (NLP), computer vision, and multimodal AI.
• Experience with large-scale datasets and model training pipelines.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Benefits

• Comprehensive health, dental and vision coverage.
• Roth IRA matching.
• Retirement benefits.
• A learning and development stipend.
• Generous PTO.

Pay

• The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,600—$225,750 USD.

Schedule

• This role is full-time.

Benefits

• Additional benefits such as a commuter stipend may be available.