Senior Principal Machine Learning Engineer

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 Companys 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.

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.

Were looking for a Senior Principal Machine Learning Engineer to join Snaps team!

What youll do:

• Design implement and scale critical machine learning components and services to support Snaps most strategic initiatives

• Advance the core ML capabilities and design implement and scale the overall architecture of the recommendation systems ensuring scalability performance and reliability

• Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives

• Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways

• Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization

• 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 and deep learning approaches and algorithms and their applications to advertising recommendation and/or search domain

• Experience setting the direction for a team whose primary output is online ranking / recommendation models

• Ability to design train and optimize advanced machine learning models

• Excellent programming and software design skills

• Ability to proactively learn new concepts and technology and apply them at work

• Skilled at solving ambiguous problems and leading and executing complex technical initiatives

• Strong collaboration and mentorship skills

Minimum Qualifications:

• BS in technical field such as computer science mathematics statistics or equivalent years of experience

• 11 years of post-Bachelors machine learning experience; or a Masters degree in a technical field 10 year of post-grad ML experience; or a PhD in a related technical field 7 years of post-grad ML experience

• 4 years of experience with technical leadership or acting as the domain-expert to a technical organization

• Experience with GPU/TPU inference 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

If you have a disability or special need that requires accommodation please dont be shy and provide us some information.

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.

At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).

Our Benefits: Snap Inc. is its own community so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy on your own terms. Our benefits are built around your needs and include paid parental leave comprehensive medical coverage emotional and mental health support programs and compensation packages that let you share in Snaps long-term success!

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. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA WA NYC):

Zone B:

Zone C:

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