Machine Learning Research Scientist, Post-Training
Posted
$252,000 USD
Tech Stack
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.
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
Culture
Inclusive HiringEqual Employment OpportunityPay Transparency
Requirements
Required: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
Regions: Us
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About Scale
Industry: ai
Size: enterprise
Scale AI is building the data infrastructure behind the world's most capable AI systems, providing high-quality data and full-stack technologies to power leading models and help enterprises and governments deploy AI applications.
View company profile →Compensation
Base salary: $252,000 USD
Equity: equity based compensation, subject to Board of Director approval