Machine Learning Engineer, Level 5

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, 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 human, in addition to Bitmoji, Saturn, and other digital services. Snap Engineering teams build fun and technically sophisticated products that reach 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 Machine Learning Engineer to join Snap Inc! What you’ll do: - Build and deploy machine learning models that power core products, serving millions of Snapchatters - Apply modern ML techniques to solve large-scale, real-world problems - Own the full ML lifecycle from data analysis to production deployment - Partner with cross-functional teams to prototype and launch ML-driven features - Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production Knowledge, Skills & Abilities: - Strong understanding of machine learning approaches and algorithms - Able to prioritize duties and work well on your own - Ability to work with both internal and external partners - Skilled at solving open ambiguous problems - Strong collaboration and mentorship skills - Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks - Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices

: - Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience - 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience - Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning