Principal Machine Learning Engineer, ML Training Platform

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Job Description

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

​We’re looking for a Principal Machine Learning, ML Training Platform to join Snap Inc!

What you’ll do:

• 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

Knowledge, Skills & Abilities:

• 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• Masters/PhD in a technical field such as computer science

• Experience leading teams and driving technical roadmaps

• Experience working with machine learning, recommendation and ranking systems, or vector similarity search

• Experience with TensorFlow, PyTorch, or related deep learning frameworks

• Experience with Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, Google/AWS services

• Experienced in MLOps and managing production machine learning lifecycle

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