Machine Learning Manager, Stories Ranking

Key Skills

Analytical and Problem solving, Computer Vision (CV), Data management, Data science techniques, Deep Learning, Design, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scikit-learn, TensorFlow

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. Were 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 Snapchats Camera, Creative Tools, Maps, Chat, Memories, Stories (Discover), Spotlight, 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, youll help us build the future of communication.

We're looking for a Machine Learning Manager, Stories Ranking to join Snap!

What youll do:

• Lead a team of machine learning engineers to build and deploy scalable ML models that power content quality and recommendations across Friend Stories, Subscriptions, and Discover sections.
• Collaborate with cross-functional teams, including Product, Design, Data Science, and Infrastructure, to define and prioritize ML initiatives that align with Snap's strategic objectives.
• Manage and develop team members, provide technical guidance and mentorship, and foster a culture of innovation and continuous learning.
• Drive best practices for software development, ML engineering, and data management to ensure the reliability, performance, and privacy of ML systems.
• Stay current with the latest research and industry trends in ML and related fields, and apply them to solve complex problems in innovative ways.

Knowledge, Skills Abilities:

• Deep expertise in machine learning, with a track record of developing and deploying production-grade ML systems at scale.
• Strong leadership and management skills, with experience in leading high-performing teams of ML engineers and delivering business impact.
• Proficiency in programming languages commonly used in ML, such as Python, as well as familiarity with relevant frameworks and tools, such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of how to invest in both long term efforts that will have tangible milestones, as well as short-term optimizations with concrete goals.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

Minimum Qualifications:

• Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field.
• 8+ years of relevant industry experience in ML engineering or a related field.
• 1+ years of experience in managing and leading teams of ML engineers.

Preferred Qualifications:

• Advanced degree in Computer Science, Electrical Engineering, or a related technical field.
• Experience in developing and deploying ML models for social media or consumer-facing products.
• Experience in applying ML to computer vision, natural language processing, or recommendation systems.
• Contributions to open-source ML projects or publications in top-tier ML conferences or journals.

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidates 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): The base salary range for this position is $230,000 - 335,000 annually
• Zone B: The base salary range for this position is $219,000 - 318,000 annually
• Zone C: The base salary range for this position is $196,000 - $28,000 annually
• This position is eligible for equity in the form of RSUs