Principal Applied Scientist, Generative AI

📋 Description

• Define AI research strategy: Establish the scientific roadmap for LLM post-training, reward
• Lead and mentor scientific talent: Provide technical direction, mentorship, and research guidance
• Drive end-to-end research initiatives: Independently tackle complex, ambiguous problems
• Advance LLM performance: Develop and refine post-training approaches, including supervised
• Build effective evaluation frameworks: Establish rigorous methods for measuring the performance
• Translate research into production: Apply state-of-the-art generative AI research to practical

🎯 Requirements

• PhD in Computer Science, Machine Learning, or a related discipline, or a master's degree supported
• Deep, hands-on experience with large language models or foundation models, particularly in
• Strong understanding of reward modeling, preference learning, model evaluation, and experimental
• Demonstrated ability to lead and develop other scientists or engineers while remaining technically
• Proven ability to independently define research problems, design experiments, analyze results, and
• Proficiency in Python and machine learning frameworks such as PyTorch, including the ability to

🎁 Benefits

• Competitive base salary: $195,600–$312,400 annually in California, Connecticut, Maryland
• Equity awards: Eligibility for equity compensation in addition to base salary, subject to
• Remote flexibility: Fully remote work within the United States, subject to limited location
• Collaborative environment: Work alongside applied scientists, engineers, and cross-functional
• Research and innovation: Opportunities to work with advanced LLMs, reinforcement learning
• Professional development: Opportunities to mentor scientific talent, influence research strategy