Snapchat is the camera used by hundreds of millions of people every day to express themselves, keep in touch with their friends, and discover content from the community and publishers.

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.

Our AI Platform team owns the Machine Learning Infrastructure used by all of the applied ML teams at Snap, including Ads, Discover, Search, Notifications, Friending and Camera Platform. The team is responsible for developing the infrastructure components to empower Snap's ML engineers and data scientists to use the state-of-the-art techniques in Artificial Intelligence and Machine Learning and facilitating the sharing of these techniques between the teams. ML infrastructure components include:

• ML model training, evaluation, benchmarking and publishing

• Online and offline inference, using specialized hardware (TPU, GPU etc) where applicable

• Feature generation, management and logging

• Hyperparameter tuning and AutoML

• Common repository for sharing ML model components across Snap

What you'll do:

• Develop the vision and the roadmap for the ML infrastructure used by most applied ML engineers at Snap

• Build and grow a team of exceptional machine learning infra engineers, software engineers and technical leaders

• Work with applied ML teams across Snap to understand their requirements for ML infrastructure and build generalized solutions

• Hire top performing engineering talent and maintaining our commitment to diversity and inclusion

• Evangelize Machine Learning at Snap

• Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering

• Mentor a team of engineering managers and senior independent contributors

• Iterate quickly without compromising quality and raise the bar on operational excellence

Minimum Qualifications:

• BS/BA in a technical field such as Computer Science or equivalent experience

• 10+ years of experience with applied machine learning or infrastructure engineering

• 6+ years of experience managing a team

Preferred Qualifications:

• Experience/familiarity with one of the mature ML platforms in the industry such as FBLearner, TFX, Michelangelo, Cortex etc.

• Demonstrated experience leading a large team at scale and managing engineering with an eye to driving efficiency

• 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

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

• Someone who loves to learn, and is passionate about helping others

• Experience with feed ranking, search or advertising

• Experience with data science and Internet-scale infrastructure

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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.