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 problemsBuild Back End infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference on mobile devicesBuild comprehensive data management systems for scalable data collection, labeling, processing, and evaluationWork with product teams and engineers to make applications of machine learning ubiquitous to SnapchatKnowledge, Skills & Abilities:Ability to collaborate and work well with othersProven track record of operating highly-available systems at significant scaleAbility to proactively learn new concepts and apply them at workA passion for Snapchat and creativity!Minimum qualifications:Bachelor's degree in a technical field such as computer science or equivalent experience1+ years industry software engineering experiencePreferred qualifications:Masters/PhD in a technical field such as computer science or equivalent industry experienceExperience working on online ranking/recommendations systemsExperience building large scale production machine learning systems or data pipelinesExperience with Back End services or distributed systemsExperience in at least one of the following areas:Experience with Back End services or distributed systemsInfrastructure and large-scale system designExperience with key infra technologies like NoSQL solutions, Memcache/Redis, kafka, Kubernetes, Google/AWS servicesExperience building large scale production data pipelinesFamiliarity with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
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