Software Engineer, ML CV

Snap

London, GB
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 01/11/2021
  • Website: snap.com
  • Company Address: 63 Market St, Venice, CA, 90291

About Snap

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.

Job Description

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.

We’re looking for a Machine Learning Engineer to join Snap! As a member of the Cameos team, you will prototype, develop and productionize machine learning solutions to the ranking of Cameos in search and enhance user experience by building personalised recommendations.

We’re looking for a Software Engineer, Machine Learning to join Snap Inc! Working from London office, you will collaborate with researchers, engineers, and designers and develop machine learning frameworks to create exciting products and breakthrough interactive experiences for millions of Snapchatters around the world.

What you’ll do:

    Develop and deploy production-quality machine learning frameworks for mobile devices

    Explore and implement challenging state-of-the-art algorithms to move the needle in the machine learning area

    Evaluate the technical tradeoffs of every decision

    Perform code reviews and ensure exceptional code quality

    Work closely with other Snap teams to explore and prototype new product features

    Iterate quickly without compromising quality

Minimum Qualifications:

    3+ years of software engineering experience

    Bachelor’s degree in a technical field such as computer science or equivalent experience

Preferred Qualifications:

    Experience working with machine learning frameworks such as PyTorch, TensorFlow, Caffe2 or related frameworks

    Experience developing and optimizing real-time software for mobile applications

    M.S. degree in computer science or related field

    Strong understanding of machine learning approaches and algorithms

    Expertise in any of the following fields: segmentation, object detection, classification, deep learning model optimizations (e.g. pruning, quantization, distillation)

    Ability to proactively learn new concepts and apply them at work

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.