The company is looking to improve the discovery and personalization of avatar content across the platform, unlocking creativity and economic opportunity for millions of users and creators.
Requirements
- Leadership Experience: 3+ years managing ML engineers or scientists; 5+ years building ML systems at scale in search, recommender systems, or ads
- Strong Technical Foundation: Degree in Computer Science, Engineering, Math, Physics, or a related field—or equivalent hands-on experience
- Depth in ML: Proven track record shipping deep learning models across ranking, retrieval, NLP, computer vision, or multimodal pipelines
- Experience using transformer architectures and LLMs in production systems
- End-to-End Execution: You’ve built ML systems from data ingestion to serving in production
Responsibilities
- Define and drive the technical roadmap for ML across Search, Recommendation, and Content Understanding
- Lead the development of scalable, production-ready ML systems—from raw data to model deployment
- Collaborate cross-functionally with product, design, and data science to build intelligent discovery experiences
- Recruit, mentor, and grow a high-performing team of ML engineers
- Establish engineering best practices to ensure system reliability, extensibility, and performance
Other
- Collaborate cross-functionally with product, design, and data science
- Recruit, mentor, and grow a high-performing team of ML engineers
- Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed
- Strategic Thinking: You’re comfortable balancing near-term impact with long-term innovation
- Annual Salary Range: $289,460—$338,270 USD
- Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday
