Staff Software Engineer, Machine Learning (Consumer Revenue)

Discord Inc.
San Francisco, CA, United States
7 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$272,000.0 - $340,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Big Data Data Sharing Distributed Computing Environment Python (Programming Language) Machine Learning Recommender Systems Tensorflow Azure Machine Learning Pytorch Apache Spark Deep Learning
+3 more
Information Technology Apache Flink Machine Learning Operations

Requirements

  • 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.

Benefits & conditions

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.

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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:08 min

Adapting developer relations in the era of generative AI

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all