Lead research and development of small and efficient language models, collaborating with cross-functional teams to advance training techniques, optimize architectures, and scale AI solutions.
Locations (7)
San Francisco, California, United States
Boston, Massachusetts, United States
Austin, Texas, United States
New York City, New York, United States
Tokyo, Tokyo, Japan
London, England, United Kingdom
Bangalore, Karnataka, India
Compensation
The reasonably estimated base salary for this role ranges from $218,500.00 to $288,000.00, plus a competitive equity package.
Responsibilities
Lead research and development of novel training methodologies and architectures for small and efficient language models.
Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.