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Machine Learning Infrastructure Engineer, Ad Ranking
  • Spark
  • SQL
  • Machine Learning
  • Scala
  • Redis
  • Kafka
  • NoSQL
  • Deep Learning
  • scikit-learn
  • PyTorch
Mountain View, CA
128 days ago

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 Ad Ranking 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:

    • 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

    • 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

    • 3+ years industry engineering experience

  • Preferred qualifications:

    • Masters/PhD in a technical field such as computer science or equivalent industry experience

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

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

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