Time since we first saw it
Day 45
Similar jobs usually come down between day 6 and day 70.
At Discord, jobs usually come down by about day 62.
From 4,557 similar postings that came down, and 11 of Discord’s. Coming down is not always a hire.
Staff Software Engineer, Machine Learning (Consumer Revenue)
San Francisco Bay Area
Live, first seen by us 45 days ago- Pay
USD 272,000–340,000/year · BaseAnnual period assumed — pay source
This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office. The US base salary range for this full-time position is $272,000 to $340,000 + 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. 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 $272,000—$340,000 USD Why Discord?
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild ranking, targeting, and recommendation systems for revenue surfaces
Take ML systems from 0 to 1 into production at scale
Turn experiment results into roadmap decisions
Lead cross-functional technical initiatives across multiple verticals
From the employer’s posting
building the ranking, targeting, and recommendation systems that connect users to the right products, subscriptions, and content
A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale.
translate experiment results into roadmap decisions
lead cross-functional technical initiatives across multiple verticals
Education & alternatives
What You'll Be Doing - 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 22, 202645 days ago
- Recorded sightings
- 35
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Discord is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Spark
- PyTorch
- TensorFlow
Where the posting names them
- Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning). - Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. - A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale.
- Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization. - Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink). This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 to hire a Staff Machine Learning Engineer on our Consumer Revenue ML team. This team applies Machine Learning across Discord's core revenue surfaces — Shop, Nitro, Server Subscriptions, and Gifting — building the ranking, targeting, and recommendation systems that connect users to the right products, subscriptions, and content. If this excites you and you’ve led org-wide initiatives in the past, keep reading!
What You'll Be Doing
- 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning).
- Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
- A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale.
- Strong product and business intuition, with the ability to translate experiment results into roadmap decisions.
- Excellent communication and collaboration skills — able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned.
- The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems.
What you should have
- Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams.
- Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization.
- Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink).
This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office.
The US base salary range for this full-time position is $272,000 to $340,000 + 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.
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
$272,000—$340,000 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 details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Base Salary $272,000—$340,000 USD Why Discord?
More relevant text appears in the full description.
- Location & working pattern
San Francisco Bay Area
- Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink). This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office. The US base salary range for this full-time position is $272,000 to $340,000 + 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.