Machine Learning Infrastructure Engineer, 5+ Years Experience - Mountain View
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.
Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.
We’re looking for a Machine Learning Infrastructure Engineer to join our team at Snap Inc.! Working from our Mountain View, CA office, you’ll work on infrastructure that enables machine learning product teams to develop advanced deep learning solutions that power exciting products and breakthrough interactive experiences for millions of Snapchatters across the world.
What you’ll do:
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 problems
Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference on mobile devices
Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
Work with product teams and engineers to make applications of machine learning ubiquitous to Snapchat
Knowledge, Skills & Abilities:
Ability to collaborate and work well with others
Proven track record of operating highly-available systems at significant scale
Ability to proactively learn new concepts and apply them at work
A passion for Snapchat and creativity!
Minimum qualifications:
Bachelor’s degree in a technical field such as computer science or equivalent experience
5+ years industry software engineering experience
Preferred qualifications:
Masters/PhD in a technical field such as computer science or equivalent industry experience
Experience working on online ranking/recommendations systems
Experience building large scale production machine learning systems or data pipelines
Experience with backend services or distributed systems
Experience in at least one of the following areas:
Experience with backend services or distributed systems
Infrastructure and large-scale system design
Experience with key infra technologies like NoSQL solutions, Memcache/Redis, kafka, Kubernetes, Google/AWS services
Experience building large scale production data pipelines
Familiarity with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].