Hotline: 678-408-1354

Backend Software Engineer – Recommendations

Twitch San Francisco, CA Developer

Twitch is building the future of interactive entertainment. Recommendations, matching viewers with live content they greatly enjoy, is core to that vision. As a backend software engineer on Twitch Recommendations Team, you will help design, prototype and implement systems which enable users to discover personalized content. To solve this broad problem, you may use deep learning (DL), data from live video using computer vision (CV), or chat using natural language processing (NLP). By improving Twitch’s recommendation products, you will help Twitch’s viewers have a great experience, and Twitch’s broadcasters find more passionate fans.
At Twitch, a subsidiary of Amazon, you’ll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.

Responsibilities

  • Work on a large-scale recommendation system, consisting of deep learning training pipeline, serving infrastructure, and feature processing / storage.
  • Develop capacity and monitoring plans for the services you write
  • Write maintainable code with extensive test coverage, working in a professional software engineering environment (with source control, dev/stage/prod release cycle, continuous deployment)
  • Collaborate with applied scientists and other engineers across the company

Requirements

  • Experience in large-scale software projects
  • Exceptional coding ability
  • Distributed architecture skills
  • Excellent communicator and team player
  • Ability to learn new languages (we mainly use Go and Python) and technologies quickly
  • Interest in machine learning
  • A Bachelors or preferably Masters degree in Computer Science, or Computer Engineering, or equivalent experience

Bonus Points

  • You know Go and have used it in production-ready systems.
  • Start-up experience
  • Contributions to open source software projects. Send us a link to your contributions.
  • Data pipeline experience
  • Background working with machine learning systems
  • Background in recommendation systems.

Perks

  • Full benefits, including medical, dental, vision and life
  • 401(k) savings plan with a company match
  • Catered daily lunch and dinners (and hearty breakfasts three times a week)
  • Unlimited snacks and drinks
  • Monthly in-office massages
  • Corporate gym membership
  • Commuter benefits
  • Flexible time off policy
  • Weekly happy hours and opportunity to attend one gaming event or tournament
  • Top of the line technology to help you build your own workspace
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Eltas EnterPrises Inc.
3978 Windgrove Crossing
Suite 200A
Suwanee, Georgia
30024, USA
contact@eltasjobs.com

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