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Staff Software Engineer, Machine Learning (Engagement ML)

Remote: 
Full Remote
Contract: 
Salary: 
246 - 270K yearly
Experience: 
Senior (5-10 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

8+ years as Machine Learning Engineer or Data Scientist, Experience in building low latency machine learning systems, Strong product sense and user feedback integration, Experience in leading complex technical projects, Ability to thrive in ambiguous environments.

Key responsabilities:

  • Build and iterate on ML-driven products for engagement
  • Design robust, high-scale recommendation systems
  • Collaborate with teams to create ML roadmaps
  • Make trade-off decisions on development phases
Discord logo
Discord Computer Software / SaaS Scaleup https://discord.com/
501 - 1000 Employees
See more Discord offers

Job description

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

This position is US based only. 

We are working on applying Machine Learning across Discord to unlock high impactful and new possibilities within areas such as user engagement, user growth, user understanding and personalization.

The effort to build ML driven user experiences is just getting started, and if you are someone who is passionate about building things from scratch, this could be a great opportunity for you!

What You'll Be Doing

  • Build and iterate on new ML-driven products to foster creativity, discovery and engagement on Discord.
  • Use your technical expertise to design and build robust, high-scale, low latency content and user recommendation systems that power product features used by millions of users every day.
  • Work with XFN partner teams to create ML-driven roadmaps and systems and make the appropriate trade-off decision on development velocity vs system complexity during each development phase of the products.

What You Should Have:

  • 8+ years of experience as a Machine Learning Engineer or Data Scientist.
  • Extensive experience building low latency and complex machine learning systems at scale and have driven execution from ideation to production implementation. You can take a high-level goal and achieve a shippable solution.
  • Strong product sense, and you’re passionate about applications that are driven by user feedback and end user experiences.
  • Experience communicating updates and resolutions to customers and other partners to lead large and complex technical projects cross-functionally.
  • The ability to thrive in ambiguous environments, and are excited about figuring out solutions to complex problems.

#LI-Remote

The US base salary range for this full-time position is $246,000 to $270,400 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

 

Why Discord? 

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Check out our inclusion, diversity and purpose efforts, company principles, or learn more about the Life @ Discord experience!

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Lateral Communication
  • Problem Solving

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