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

Job Description:

• Track advancements in LLM and generative model research and translate them into concrete opportunities
• Apply state-of-the-art techniques to summarization quality and LLM-based evaluators
• Lead end-to-end ML development, including research, model training, and evaluation
• Optimize generated content for member impact using recommendation systems thinking
• Partner with ML scientists and engineers to integrate models into business applications and platforms
• Translate complex technical concepts for technical and non-technical stakeholders
• Act as a subject matter expert to identify high-impact opportunities and define and execute roadmaps
• Engage with the internal and external ML community

Requirements:

• Demonstrated habit of tracking the LLM/generative model literature and identifying relevant advances for real business problems
• Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation
• Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus
• Background in vision models such as diffusion models is a plus
• Expertise in one or more LLM post-training approaches
• Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus

Benefits:

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off