Senior Machine Learning Engineer (Growth)
Company websitediscord.com (Discord, opens in new tab)
Base salary $220K to $275K
Employer-published annual base salary, USD. Advertised base range in California
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationCalifornia
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
Source: Discord on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($220,000) is above 79% of the 4,200 Software Engineering roles in California listed on this site; 75 others list the same floor. Their median floor is $176,500; the middle half runs from $149,200 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Machine Learning Engineer (Growth)$220K to $275K
Senior Manager, Global Indirect Tax$208K to $234K
Associate Commercial Counsel$200K to $225K
Senior Software Engineer, Consumer Revenue$196K to $245K
Senior Platform Security Engineer$196K to $245K
Senior Data Engineer, Ads$196K to $245K
Staff Data Engineer$248K to $310K
Chart as a table
| Role | Published base |
|---|---|
| Senior Machine Learning Engineer (Growth) (this listing) | $220K - $275K |
| Senior Manager, Global Indirect Tax | $208K - $234K |
| Associate Commercial Counsel | $200K - $225K |
| Senior Software Engineer, Consumer Revenue | $196K - $245K |
| Senior Platform Security Engineer | $196K - $245K |
| Senior Data Engineer, Ads | $196K - $245K |
| Staff Data Engineer | $248K - $310K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-04
Where this pay comes from
Location as the employer wrote it: San Francisco Bay Area
USD 220,000 – 275,000 · interval unstated · pay_input_range · Base Salary · base-labelled (R1: Base Salary)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
