Joblaze summary

In this role, the Staff Machine Learning Engineer focuses on developing and optimizing machine learning systems that enhance Discord's revenue streams, including product recommendations and subscription services. The position requires extensive experience in deep learning and proficiency in Python, alongside familiarity with large-scale data processing and personalized marketing systems. Ideal candidates are seasoned professionals with a strong background in building ML systems from the ground up and leading cross-functional initiatives. Discord's emphasis on gaming and community engagement adds a unique context to the work.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 23, 2026. Last confirmed on Discord's careers page November 12, 2026.
Salary band is above the typical range for AI/ML roles (median ~$189,308).
Starts above 74% of 89 comparable staff ai/ml roles in United States that list Python we track (median $230,000 across 36 companies). See Python salary trends
Python appears in 46.9% of 271 comparable staff ai/ml roles in United States; JAX appears in 4.1% of 271 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Software Engineer, Machine Learning (Consumer Revenue) role remote?: It's hybrid — Discord expects some on-site time in San Francisco Bay Area.
What's the salary range?: Discord lists $272,000–$340,000 for this role.
How much experience is required?: At least 8 years of relevant experience for this Staff Software Engineer, Machine Learning (Consumer Revenue) role.
Where is the role based?: Discord is hiring for this position in San Francisco Bay Area.
What's the tech stack?: Joblaze extracted these technologies from the posting: JAX, PyTorch, Python, TensorFlow.
What seniority level is this role?: Discord targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Software Engineer, Machine Learning (Consumer Revenue) role at Discord.

From the original posting

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?

Standard company text repeated across Discord's postings is omitted here.

Staff Software Engineer, Machine Learning (Consumer Revenue)

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