AI Research Scientist 4/5 - Generative Models, Recommender Systems

📋 Description

• Monitor the latest developments in large language models, generative AI, and deep learning
• Lead the end-to-end machine learning lifecycle, including research, experimentation, model
• Apply state-of-the-art techniques to improve generated content quality, with a particular focus on
• Design and implement AI-based evaluators, including LLM-as-a-judge approaches, to assess generated
• Combine generative content capabilities with recommendation system principles to optimize
• Collaborate with machine learning scientists and engineers to integrate research models into

🎯 Requirements

• Strong foundational knowledge of machine learning, deep learning, natural language processing
• Demonstrated experience tracking and interpreting scientific literature on LLMs and generative
• Expertise in one or more LLM post-training approaches, supported by practical knowledge of model
• Experience leading machine learning projects from research and experimentation through model
• Strong analytical and problem-solving abilities, with a research-oriented mindset and the capacity
• Excellent communication and collaboration skills, including the ability to explain sophisticated

🎁 Benefits

• Competitive annual compensation: Salary range of $300,000–$537,000, depending on location
• Flexible compensation structure: Compensation is structured around annual salary and stock options
• Comprehensive healthcare: Access to health insurance plans supporting employees' medical needs.
• Mental health support: Resources and programs designed to support mental well-being.
• Retirement savings: A 401(k) retirement plan with an employer match.
• Equity opportunities: Participation in a stock option program.