Netflix

Research Engineer 6 - TL, Off-Platform and Evidence Personalization

USA - Remote · Full-time

Sponsorship not specifiedDetected 71 days ago

PythonJavaScalaAlgorithmsCode ReviewMachine LearningData ScienceLLMsMLOpsStatisticsCRMResearchMentoring

About the role

The Off-Platform and Evidence Personalization org includes 3 teams: algorithmic notification personalization, asset personalization, and 0-1 GenAI bets.
Messaging is the most mature and complex of the teams.
Candidate Generation: Scaling the message catalog via creator tooling integrations and GenAI message creation

Drive cross-functional partnerships with Merchandising, Product, Engineering, and Data Science & Engineering to align ML capabilities with business priorities
Design, build, and ship production ML systems that scale across Netflix's ecosystem
Partner with the AIMS AI Foundations team to integrate and leverage foundation model capabilities for member-facing use cases
Design and run rigorous offline experiments and A/B tests to validate the impact of new systems on key business metrics
Cross-functional leadership. You'll drive partnerships with Merchandising, Product Management, Data Science & Engineering to develop scalable, well-integrated designs.
The systems you build will directly drive engagement, retention, and revenue across some of Netflix's fastest-growing business areas.
0 → 1 and optimization. The role spans building entirely new systems from scratch (Rejoin message personalization, GenAI message creation) and applying advanced methods to further optimize existing levers.
You will own production ML systems at the intersection of product and platform, spanning GenAI-powered message and asset creation, Commerce, and new content experiences.
ability to scope the right problem, ship pragmatically, and maintain rigorous standards without over-engineering

Experience driving successful partnerships with both technical and nontechnical stakeholders
Deep expertise in ML algorithms and frameworks, with hands-on experience training, tuning, and deploying models in production
Experience with personalization, recommendations, or search algorithms
Experience with GenAI, LLMs, or multimodal AI in production systems

Strong software engineering skills in Python, plus experience with Scala or Java

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses.

You choose each year how much of your compensation you want in salary versus stock options.
We also offer 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.
See more details about our Benefits here.
Drive the team's technical vision and roadmap for candidate generation and emerging applications

At Netflix, our mission is to entertain the world.
Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.
Come be a part of what's next.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.