Snap Inc. · 1 day ago
Manager, Machine Learning Engineering, Content Ranking
Snap Inc. is a technology company that focuses on improving communication through innovative products like Snapchat and augmented reality. They are seeking a Machine Learning Engineering Manager to lead a team in developing and optimizing a personalized video recommendation engine, ensuring system scalability and performance.
Computer Software
Responsibilities
Lead a team of machine learning engineers and software engineers in developing and optimizing our personalized video recommendation engine
Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability
Drive rapid iteration without compromising quality: work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system
Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes: conduct A/B testing and analyze performance metrics to continuously improve the recommender system
Perform design and code reviews to raise technical excellence bar
Qualification
Required
Bachelor's in a related technical field such as computer science or equivalent years of experience
8+ years of post-Bachelor's ML industry experience; or a Master's degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
1+ year(s) of experience leading machine learning teams that focus on ranking and/or recommendations
Deep understanding of machine learning approaches, algorithms and their application to recommender system
Experience setting the direction for teams focused on developing online ranking and recommendation models
Strong management and mentorship skills, fostering a collaborative and innovative team culture
Excellent verbal and written communication skills, with meticulous attention to detail
Ability to effectively collaborate with stakeholders at all levels, both internally and externally
Proficiency in managing and solving ambiguous problems
Preferred
Experience with real-time recommendation systems
Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Experience working with distributed systems
Experience working with machine learning, ranking infrastructures, and system designs
Ability to proactively learn new concepts 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
Equity in the form of RSUs
Company
Snap Inc.
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate.
H1B Sponsorship
Snap Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (394)
2024 (366)
2023 (332)
2022 (356)
2021 (318)
2020 (237)
Funding
Current Stage
Late StageRecent News
2025-02-12
2025-02-11
Social Media Today
2025-02-08
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