Principal Machine Learning Engineer optimizing video recommendation systems for Snap. Collaborating with cross-functional teams to advance machine learning strategies and improve tech stack.
Responsibilities
Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems
Advance the core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability
Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives
Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways
Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization
Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
Provide technical direction that influences the entire company
Requirements
BS in technical field such as computer science, mathematics, statistics or equivalent years of experience
9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related 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
Benefits
paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success
Job title
Principal Machine Learning Engineer, Content Relevance
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