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Machine Learning Engineer, Cameos

AT Snap
Snap

Machine Learning Engineer, Cameos

London, United Kingdom

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.

Cameos is a revolutionary technology of animating the customer’s face given a single selfie, which works real-time on a wide range of mobile devices. We are looking for an experienced engineer who can make the difference and push the boundaries of the technology into the next level. The Cameos team is innovating new ways for Snapchatters to express themselves with their friends. With Cameos, you become the star of short, looping videos that you can customize with your own face and send to friends in Chat. 

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We’re looking for a Machine Learning Engineer to join the Cameos team. As a member of the team you’ll help Snap lead the way in augmented reality and will work on features to empower our users to create amazing AR experiences. You will own and drive high-level features from planning through implementation, be involved in all stages of the software development lifecycle and solve complex technical problems that will impact millions of Snapchat users daily. Working from our London office, you’ll develop groundbreaking technology and move the needle at Snap.

What you’ll do:

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

  • Develop advanced ways to integrate Snapchatters into Cameos using machine learning 

  • Explore and implement state-of-the-art algorithms to keep Snap products on the cutting-edge of machine learning technology

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

  • Create products that are used by millions of Snapchatters 

  • Drive the technical and organizational roadmap for the engineering team

  • Lead and grow a team of exceptional machine learning engineers

  • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions

Knowledge, Skills, Abilities:

  • Strong understanding of machine learning approaches and algorithms

  • Ability to proactively learn new concepts and apply them at work

  • Strong communication and collaboration skills

  • Strong communication, presentation, and interpersonal skills

  • Ability to lead and represent the team’s goals and projects with cross-functional business partners and leaders

Minimum Qualifications:

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

  • 3+ years of research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimizations (e.g. pruning, quantization, distillation)

  • Experience working with machine learning frameworks such as PyTorch, TensorFlow

Preferred Qualifications:

  • Advanced degree in machine learning, computer vision, or related field

  • Experience developing and optimizing real-time software for mobile applications

  • Experience with generative modeling for computer vision applications

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.

Our 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!

Client-provided location(s): London, UK
Job ID: 1dcfd6453955b435da1792792a018a23932a0acc2b9b0bc8b6e91f52e1164bef
Employment Type: Other