Machine Learning Research Scientist (AI)

TL;DR

Machine Learning Research Scientist (AI): Developing novel post-training techniques to enhance LLM capabilities in both text and multimodal modalities with an accent on optimizing data curation and evaluation. Focus on analyzing model behavior, identifying weaknesses, and proposing solutions for bias mitigation and model robustness.

Location: San Francisco, CA; Seattle, WA; New York, NY

Salary: $252,000—$315,000 USD

Company

Scale develops reliable AI systems for critical decisions, providing high-quality data and technologies for leading models.

What you will do

• Research and develop novel post-training techniques to enhance LLM capabilities.
• Design and experiment with new approaches to preference optimization.
• Analyze model behavior and propose solutions for bias mitigation.
• Publish research findings in top-tier AI conferences.

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.
• Deep understanding of deep learning and reinforcement learning.
• Experience with post-training techniques such as RLHF.
• Excellent written and verbal communication skills.
• Published research in major conferences or journals.