AI Research Scientist 4 - Generative Models, Recommender Systems

What you'll do

• Track LLM and generative-model research and apply relevant advances to business problems.
• Lead end-to-end ML research, model training, and evaluation for summarization and generated-content assessment.
• Optimize generated assets for member impact and partner with teams to integrate models into business applications.

What they ask for

• Strong foundation in machine learning and deep learning, especially natural language processing, understanding, and generation.
• Expertise in one or more LLM post-training approaches.
• Demonstrated habit of tracking LLM and generative-model literature and identifying relevant advances.

Nice to have

• Research experience in summarization or generated-text evaluation, such as LLM-as-judge methods.
• Background in vision models such as diffusion models, or experience with recommendation systems, personalization, or member-facing optimization systems.

Pay

$300,000.00 - $537,000.00 (annual salary; ISO currency code not stated)

Tools

LLM, generative models, Machine Learning (ML), Deep Learning, Natural Language Processing, diffusion models, recommendation systems

AI focus

Researches and develops generative models and LLM-based systems for summarization, generated-content evaluation, and promotional assets optimized for target audiences.