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Senior Machine Learning Engineer (Growth)

Discord

San Francisco, CAFull-time$220–275K/yrPosted todayStill listed today

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At a glance

Compensation
$220–275K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Discord is hiring a Senior Machine Learning Engineer for its Engagement ML team and Onboarding squad in Growth. The engineer will build end-to-end recommendation systems that help new users discover communities and content, including cold-start personalization and models intended to improve retention. The role combines production-scale ML development with cross-functional roadmap planning and experimentation.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningData SciencePython (Programming Language)PyTorch (Machine Learning Library)JaxMETensorflowRecommender SystemsDeep LearningRecommendation SystemsPersonalizationRetrieval and RankingEmbedding-Based RetrievalTwo-Tower ModelsTransformersMulti-Task LearningJAXFeature PipelinesModel ServingMonitoringOnline ExperimentationProduct IntuitionCommunicationCollaborationAmbiguity ManagementCold-Start PersonalizationOnboarding FlowsPreference ElicitationUser Representation ModelsSocial-Graph SignalsGrowthConsumer ProductsDistributed ComputingVector Search

Qualifications

5+ Years Machine Learning ExperienceRecommendation Systems Track RecordEnd-to-End Production ML Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

We're looking for a Senior Machine Learning Engineer to join our Engagement ML team, working as part of the cross-functional Onboarding squad in Discord's Growth organization. You'll design and build 0→1 end-to-end ML solutions that help brand-new users find their place on Discord: the servers, people, and content that turn a first session into a long-term connection to the product. If this excites you, keep reading! What You'll Be Doing

  • Design, build, and scale the recommendation systems that connect new users to communities and content, from candidate generation and ranking through to online serving.
  • Solve cold-start personalization for users with little or no history on Discord, turning the limited signals available into recommendations for servers, communities, and content.
  • Build and deploy ML models that lift new-user retention, combining purpose-built approaches with shared foundations such as user and server embeddings.
  • Collaborate cross-functionally to shape the Onboarding roadmap, balancing fast learning experiments with the long-term complexity and scalability of the systems behind them

What you should have

  • 5+ years of experience in Machine Learning, Data Science, or Applied Science, with a track record of shipping recommendation or personalization systems end to end.
  • Hands-on experience building modern recommendation systems: retrieval and ranking pipelines, embedding-based retrieval (e.g. two-tower models), and deep learning models (e.g. transformers, multi-task learning).
  • Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
  • Experience taking ML systems from ideation to production at scale, including feature pipelines, model serving, monitoring, and online experimentation.
  • Strong product intuition and a passion for building 0→1 ML applications grounded in user feedback and real-world impact.
  • Excellent communication and collaboration skills, able to serve as the ML voice on a cross-functional squad and keep stakeholders aligned on trade-offs, priorities, and progress.
  • The ability to thrive in ambiguous environments, energized by tackling open-ended, technically challenging problems

Bonus Points If You Have:

  • Experience with cold-start or new-user personalization, onboarding flows, or preference elicitation.
  • Built user representation models or applied social-graph signals to recommendation problems.
  • Worked on growth or engagement problems for consumer products, such as community and content recommendations, user activation, or retention.
  • Experience with large-scale recommendation systems, data infrastructure, distributed computing, and vector search.

The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Benefits include medical, dental, and vision insurance; a 401(k) plan; life and disability insurance; paid time off; and paid parental leave. 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 role postings reflect the base salary only, and do not include equity, or benefits. Applications for this role are accepted on an ongoing basis.

Base Salary $220,000—$275,000 USD

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, and helps developers build and grow their businesses. 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! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

How this job compares

Set against the 6,127 open Machine Learning Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$220–275K/yr
  • California median$177–262K/yr1,407 salary ranges
  • US median$150–245K/yr4,889 salary ranges

This range's midpoint, $248K, is 11% above the California median midpoint ($223K) — in the middle half of Machine Learning Engineer salary ranges in California.

Openings
Olive Jobs lists 1,880 open Machine Learning Engineer jobs in California and 6,127 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,896 postings).
Education
2,195 of the 6,127 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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