Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
About the role
- Machine Learning Engineering Manager leading a team to optimize video recommendation engines at Snap. Responsible for architecture, performance, and team collaboration in a fast-paced environment.
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
Requirements
- 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 teams that focus on ranking and/or recommendations
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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FI
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