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Machine Learning Infrastructure Engineer, 5+ Years of Experience

Company: Snap Inc.
Location: Mountain View
Posted on: May 12, 2022

Job Description:

Snap Inc. (https://www.snap.com/en-US/) 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.Snap Engineering (https://eng.snap.com/) 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 (https://eng.snap.com/values) are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.Some core features we build and maintain include Snapchat's Camera, Creative Tools, Maps, Chat, Memories, Stories, Discover, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you'll help us build the future of communication.We're looking for a Machine Learning Infrastructure Engineer to join Snap Inc! 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 SnapchatKnowledge, 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 creativityMinimum Qualifications:+ Bachelor's degree in a technical field such as computer science or equivalent experience+ 5+ years industry software engineering experiencePreferred 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 frameworksAt 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 (https://careers.snap.com/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!**About Us**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.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 .Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant\_and\_Candidate\_Privacy\_Policy.pdf)

Keywords: Snap Inc., Mountain View , Machine Learning Infrastructure Engineer, 5+ Years of Experience, Engineering , Mountain View, California

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