The Off-Platform and Evidence Personalization org includes 3 teams: algorithmic notification personalization, asset personalization, and 0-1 GenAI bets. Notifications builds the ML systems that decide which messages to send, to whom, when, how often, and via which channel, while asset personalization leads multimodal generation, recommendation, and tagging to help members make informed viewing decisions. The teams partner closely with the broader ML organization (ML Platform, Recommendations, Foundation Models) and a diverse cross-functional organization (Engineering, Product, Data Science, CRM, Live, Games).

Messaging is the most mature and complex of the teams. It is further divided into three areas: 

• Candidate Generation: Scaling the message catalog via creator tooling integrations and GenAI message creation 

• Send Decision Optimization: Improving targeting decisions across the notification system

• Emerging Applications: Expanding message personalization into new business areas and member states including Podcasts, FTAB, and Commerce applications. 

This position is a tech lead role across all teams. The tech lead will own the vision and strategy for the area, as well as drive execution for key initiatives within individual teams. 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.

What makes this role unique:

• Cross-functional leadership. You'll drive partnerships with Merchandising, Product Management, Data Science & Engineering to develop scalable, well-integrated designs.

• High-leverage, high-visibility scope.Messaging and Assets touch every Netflix member, and 0-1 bets have the potential to reshape who interacts with Netflix and how. The systems you build will directly drive engagement, retention, and revenue across some of Netflix's fastest-growing business areas.

• GenAI meets product. Personalized message and asset creation is a natural application of multimodal AI. You'll be at the forefront of bringing GenAI capabilities into a production messaging system at global scale.

• 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.

• Drive the teams technical vision and roadmap for candidate generation and emerging applications

• 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

• Contribute to the team's technical culture through mentorship, code review, and raising the bar on engineering practices

• 6+ years of experience applying machine learning in an industry setting, with a track record of delivering impactful production systems

• Experience driving successful partnerships with both technical and nontechnical stakeholders

• Masters or PhD in a computational field such as physics, computer science, statistics, or math

• 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

• Strong 80/20 mindset: ability to scope the right problem, ship pragmatically, and maintain rigorous standards without over-engineering

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. 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.

Netflix is a unique culture and environment. Learn more here.

Job is open for no less than 7 days and will be removed when the position is filled.