Principal Machine Learning Engineer, Snap

• Strong understanding of machine learning approaches and algorithms
• Excellent programming and software design skills, including debugging, performance analysis, and test design
• Proven track record of operating highly-available systems at scale
• Ability to proactively learn new concepts and technology and apply them at work
• Skilled at solving ambiguous problems
• Strong collaboration and mentorship skills
• BS in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 9+ years of industry machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience
• 2+ years of experience as a technical lead
• Experience with GPU/TPU training and optimizations

Desirable

• Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives
• Build a next-generation training framework that can support large-scale model training, enabling us to push the limits of what's possible with machine learning
• Perform training and model performance optimization with various GPUs to improve model training speed and efficiency
• Develop an AutoML platform to accelerate model generation and automate the machine learning model lifecycle
• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
• Provide technical direction that influences the entire company