Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
About the role
- Machine Learning Engineering Manager at Snap Inc. leading engineering teams to develop models for value creation. Responsible for technical evaluations, product scalability, and engineering excellence.
Responsibilities
- Lead machine learning engineers to create models which drive value for our users and company
- Evaluate the technical tradeoffs of key decisions
- Perform design and code reviews to raise technical excellence bar
- Build robust, lasting, and scalable products
- Iterate quickly without compromising quality
Requirements
- Bachelor’s in a related technical field such as computer science or equivalent years of practical work 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
- Strong understanding of machine learning approaches and algorithms and their applications to Snap’s products
- Strong management and mentorship skills
- Excellent verbal and written communication skills, with high attention to detail
- Ability to collaborate with internal and external stakeholders at all levels of a company
- Skilled at managing ambiguous problems
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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