Senior Software Engineer, Machine Learning (Safety)

Discord
San Francisco, CA
On-site

In the 12 months to 30 Jun 2026, Discord filed 8 H-1B positions titled "Senior Software Engineer". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Experienced machine learning engineers with a focus on safety and collaboration will find this senior role in the gaming domain at Discord.

Best fit for

  • Candidates with 4+ years in ML engineering and a history of cross-functional collaboration
    — “Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams.”
  • Individuals who have led ML projects from ideation to production in high-traffic environments
    — “Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production.”
  • Professionals with strong Python coding and familiarity with ML frameworks like PyTorch or TensorFlow
    — “Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.”

Things to consider

  • The role likely expects a full-time commitment based on the salary range and equity structure.
    — “The US base salary range for this full-time position is $220,000 to $247,500 + equity + benefits.”

How to stand out

  • Highlight experience with real-time and batch ML systems in your resume and interview.
    — “Building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems.”
  • Emphasize your ability to curate large-scale golden label sets for model training.
    — “Work with partner teams in Trust & Safety to curate golden label sets at scale and improve data labeling techniques for model training.”
  • Showcase your ability to document and apply ML best practices in your work history.
    — “Document modeling approaches and systems, and apply current machine learning best practices.”
  • Demonstrate your experience in deploying models into production with backend code.
    — “Deploy models into production systems, writing backend code as needed to ensure scalability and reliability.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and deployed machine learning models
  • Improved risk detection systems
Typical background
Master’s degree in Computer Science, Machine Learning, Statistics

Skills & requirements

Required

PythonMachine LearningData AnalysisModel DeploymentCollaboration

Preferred

PyTorchJAXTensorFlow

Stack & domain

PythonPyTorchJAXTensorFlowCommunicationCollaborationMachine LearningData ScienceRisk Evaluation

About the role

Original posting from Discord via Greenhouse

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 are seeking an experienced Senior Machine Learning Engineer to join our Safety ML team. This role focuses on building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity. You will work closely with partners across product, engineering, design, policy, legal, and Trust and Safety to design and deliver effective ML solutions. This role reports to the Senior Manager of Machine Learning, Safety.

What You'll Be Doing

Analyze data to identify risk patterns and inform the design of machine learning models

Build, iterate on, and evaluate models that detect risk and anomalous behavior

Work with product, engineering, legal, and Trust and Safety partners to deliver effective ML solutions

Work with partner teams in Trust & Safety to curate golden label sets at scale and improve data labeling techniques for model training

Deploy models into production systems, writing backend code as needed to ensure scalability and reliability, and monitor performance

Document modeling approaches and systems, and apply current machine learning best practices

What you should have

4+ years of experience in ML engineering or applied ML roles.

Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.

Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production.

Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions.

A growth mindset: seeking feedback, reflecting on decisions, and continuously improving.

Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams.

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc.

The US base salary range for this full-time position is $220,000 to $247,500 + 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.

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 careers (Greenhouse)

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