Research Engineer 4 - Member

Netflix•Leavenworth, WA

8d•$300,000 - $537,000

About The Position

The Content Discovery and Personalization team is looking for an experienced Research Engineer to research, develop, and iterate on LLM prototypes to improve Netflix’s understanding of our members. The team aims to develop and improve decision-making capabilities across the company by undertaking intersectional research, building scalable data products, and providing frameworks and guidance that improve how we think about and interact with our members. The ideal candidate will excel at opportunity discovery and cross-functional collaboration and have a passion for leveraging their ML/LLM expertise to improve our understanding of our members.

Requirements

Strong foundation in deep learning and LLMs, with proven hands-on industry experience in improving large generative models and model evaluation.
Substantial relevant industry experience building scalable ML models, particularly in natural language processing and machine learning, and translating this into business impact.
Advanced degree (PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence, or computer vision, or equivalent industry experience.
Strong software engineering skills in Python and proficiency in using frameworks such as PyTorch or TensorFlow.
Flexibility in approach, able to pivot between research goals and the implementation of end-to-end solutions with ease.
Excellence in solving complex problems with innovative solutions, developing novel algorithms, and adapting existing methods from the literature to new challenges.
Excellent communication skills, capable of explaining complex technical details to both technical and non-technical audiences.
Ability to thrive in fast-paced, dynamic environments with ambiguity, making positive contributions to team collaboration and company culture.

Responsibilities

Research, develop, and iterate on LLM/ML evaluation and simulation systems to improve Netflix’s understanding of our members.
Drive your own roadmap, determining what areas are best served by rapid iteration and which ones deserve deeper development.
Create insights and help shape the direction of future member-facing investments by influencing the broader Product team.
Collaborate with Data Scientists, ML Scientists, and Engineers on a variety of projects to ensure we maximize our ability to understand our members.
Stay up to date with research in areas related to LLM advancement, identifying when and where to implement new best practices and methodologies.