Staff Machine Learning Engineer focused on content ranking and ML capabilities at Snap. Working on personalized video recommendations and mentoring engineers across teams.
Responsibilities
Set and drive the technical direction for the Content Ranking team and advance the core ML capabilities of our personalized video recommendation systems
Design, build, and deploy machine learning solutions to support Snap's content recommendation systems, ensuring scalability, performance, and reliability
Own outcomes for large, cross-team ML initiatives, from problem definition through long-term iteration and impact
Establish technical vision and roadmaps, and resolve complex technical tradeoffs across teams
Influence and mentor engineers across org boundaries through technical leadership and collaboration
Requirements
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
8+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 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
Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to content, recommendation, and/or search domain
Ability to design, train, and optimize advanced machine learning models
Strong collaboration and mentorship skills
Ability to proactively learn new concepts and technology and apply them at work
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!
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