Machine Learning Tech Lead, Content Understanding

Key Skills

Aartificial intelligence, JAX framework, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow, Video processing/compression

Job Description

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

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.

Some core features we build and maintain include Snapchat’s Camera, Creative Tools, Maps, Chat, Memories, Stories, Discover, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you’ll help us build the future of communication.

We're looking for a Machine Learning Tech Lead, Content Understanding to join Snap!

What you’ll do:

• Build and optimize world-class ML-based products and systems to provide the best content experience for Snapchatters and our community.

• Drive the team’s strategy and goal setting related to project impact, AI system design, and ML excellence

• Collaborate with leadership to uplevel the ML tech stack and improve the performance of the organization

Knowledge, Skills & Abilities:

• Vast experience designing, training, and analyzing neural networks for content understanding, LLM, sequence and graph learning

• In-depth understanding of common Machine Learning and Deep Learning algorithms

• Effectiveness at leading and executing large, complex technical initiatives

Minimum Qualifications:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

• Experience in one or more of the following areas: computer vision, AR/VR, video understanding, natural language understanding, and artificial intelligence.

• Experience with deep learning framework such as PyTorch, JAX, and TensorFlow

• Experience with machine learning infrastructure, distributed systems, and recommendation systems

• 7+ years of industry experience with large-scale customer-facing AI products

Preferred Qualifications:

• Experience contributing to AI publications

• Previous experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment

• Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments

• Deep knowledge of and experience working with a diverse group of engineers

• Someone who loves to learn, and is passionate about developing top engineering talent and leaders

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future.

• Zone A (CA, WA, NYC): The base salary range for this position is $265,000 - 385,000annually

• Zone B: The base salary range for this position is $252,000 - 366,000 annually

• Zone C: The base salary range for this position is $225,000 - $327,000 annually

• This position is eligible for equity in the form of RSUs