Lead and mentor a team of ML Infrastructure engineers responsible for building and scaling the systems that power Snap's model training, inference, and data pipelines
Set the strategy, build a roadmap, create measurable goals, and lead your team to deliver high-impact ML infrastructure initiatives
Evaluate the technical tradeoffs of key decisions and serve as a strong technical mentor across the team
Perform design and code reviews to continuously raise the technical excellence bar
Collaborate with ML engineers, product teams, and cross-functional stakeholders to understand requirements, evaluate tradeoffs, and deliver solutions at scale
Hire, grow, and retain high-performing engineers by creating growth opportunities, giving regular feedback, and managing performance
Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production-ready quality

Bachelor's degree in a technical field such as computer science or equivalent years of experience
9+ years of post-Bachelor's software engineering experience; or a Master's degree in a technical field + 8+ years of post-grad experience; or a PhD in a related technical field + 5+ years of post-grad experience
1+ year(s) of experience managing an engineering team
Experience with distributed systems and large-scale ML infrastructure

Manager, Software Engineering – ML Inference

Key skills