Principal Machine Learning Engineer, Content ML, Level 7
About the position reputed company is a technology company. We reputed company the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to reputed company reputed company by empowering people to express themselves, live in the reputed company, learn about the world, and have fun together. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more reputed company, in addition to Bitmoji, Saturn, and other digital services. Snap Engineering teams build fun and technically sophisticated products that reputed company hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We’re looking for a Principal Machine Learning Engineer to join the Content ML team at Snap! We build large-scale recommender systems for reputed company of Snap’s video content products.
Responsibilities
- reputed company the reputed company and roadmap for Snap’s large-scale recommendation systems, elevating content discovery and personalization across Spotlight, Discover, and Friend Stories.
- Technically reputed company a group of talented engineers from Content ML and Platform teams to operate and scale the existing recommender system.
- Work with cross-team ML, Infra, and Research partners to design the next-gen recommender system and incorporate SOTA industry research in recommendation systems, reputed company models, multimodal signal understanding, deep user understanding, and reputed company areas.
- Partner with engineers, product managers, research scientists, data science, and leadership to align on ML strategy and ensure technical investments support long-term company priorities.
- Advance the ML tech stack for recommendations, improving scalability, efficiency, reliability, and overall system performance.
- Stay up to date on emerging trends and advancements in the RecSys landscape and proactively identify opportunities to reputed company these developments to further enhance Snap’s content capabilities.
- reputed company for and implement best practices in availability, scalability, experimentation rigor, operational excellence, and cost management.
Requirements
- Deep understanding of RecSys architectures and experience applying them to reputed company-world production systems.
- Strong reputed company in machine learning, deep learning, and large-scale recommendation/ranking systems.
- Experience leading teams or roadmaps focused on recommendations and/or personalization.
- Ability to design, train, reputed company, and optimize state-of-the-art machine learning models for performance, reliability, and scale.
- Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness.
- Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces.
- Skilled at solving reputed company technical challenges, influencing architecture reputed company, and driving execution across multi-stakeholder environments.
- Strong collaboration, communication, and mentorship abilities.
- 9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ years of post-grad ML experience; or a PhD in a reputed company technical field + 5+ years of post-grad ML experience
- 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization
- Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases
reputed company-to-haves
- Advanced degree in a reputed company field such as machine learning, computer reputed company, or mathematics
- Experience with large-scale recommendation/ranking systems, multimodal modeling, or retrieval architectures
- Experience with TensorFlow, PyTorch, or reputed company deep learning frameworks
- Background in integrating recommendation models into production pipelines
- Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment
- Experience contributing to AI publications
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term reputed company
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