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

Netflix•Remote, OR

30d•$300,000 - $537,000

About The Position

The Promotional Assets & Creative Technology AIMS team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.

Requirements

Demonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.
Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation.
Expertise in one or more LLM post-training approaches.

Nice To Haves

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.
Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.

Responsibilities

Track advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.
Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators ("judges") that assess whether generated content meets quality bars.
Lead end-to-end ML development on these problems: research, model training, and evaluation.
Optimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.
Partner with ML scientists and engineers to integrate models into business applications and platforms.
Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.
Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.
Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.