Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!   

Our Perception team builds the technology that enables Snapchat’s camera to intelligently understand the world around us. This team is composed of innovative product thinkers, engineers, and scientists who work together to bring captivating Snapchat experiences to life — all powered by artificial intelligence.

We're looking for a Machine Learning Infrastructure Engineer to join the Perception team!

What you’ll do:

• Leverage machine learning, information retrieval and big data processing technologies to empower web scale image search and recommendation experiences

• Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows for advanced deep learning and computer vision problems 

• Create comprehensive data management systems for scalable data collection, labeling, processing, and evaluation 

• Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference on mobile devices 

• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products

Knowledge, Skills & Abilities:

• Knowledge of GPU programming such as OpenCL or CUDA

• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design

• Proven track record of operating highly-available systems at significant scale

• Ability to collaborate and work well with others

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

Minimum Qualifications: 

• BS/BA degree in a technical field such as computer science or equivalent years of experience

• 1+ years of industry engineering or research and development experience

• Experience with Golang, Python, or C++

Preferred Qualifications:

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

• Experience building large scale production machine learning systems or data pipelines

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

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

• Experienced in MLOps: managing production machine learning lifecycle

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

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.

Our Benefits: Snap Inc. is its own community, so we’ve 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 maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!