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Senior Software Engineer (Machine Learning, Safety)

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Onsite

Senior Software Engineer (Machine Learning, Safety)

Discord

Senior Software Engineer (Machine Learning, Safety)

Skills

PythonData SciencePyTorchTensorFlowRMachine Learning

23 days ago

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Important information


Contract type:

Permanent

Salary:

$220,000 – $247,500 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

30 September 2026

What they need


  • 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
  • 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

Benefits

  • Discord HQ: At Discord, we believe great work can happen anywhere, whether in person or virtually. Our flexible work model empowers our people to choose where they work best: at home, in one of our offices like our San Francisco HQ, or a mix of both.
  • Grow together: Look forward to developing both professionally and personally alongside your colleagues at Discord. All of our managers go through a leadership program, and we offer enriching trainings for everyone. No matter what your interests or skills are, there’s a place on our platform for you to find and build belonging.
  • Money matters: Discord strives to offer fair and competitive compensation packages, including equity. You’ll have room to grow and be rewarded based on your contributions and impact at the company. Take advantage of our retirement offerings (including 401k matching in the US) to meet your financial goals.
  • Health benefits; At Discord, we health-care about you! We offer medical, dental, vision, reproductive, gender-affirming, and mental healthcare to our employees.
  • Family support: Spend some quality time with the next generation with 12+ weeks parental leave, as well as fertility, adoption, and surrogacy benefits.
  • R&R: Stay refreshed with four weeks of PTO, 16 paid holidays each year including a week off for the winter holidays, and flexible sick time (which includes mental health days).
  • Wellness on us: Take advantage of a $375 quarterly stipend for your gym membership or other activities to keep you feeling great.
  • Giving back: Whatever social cause you’re passionate about, take a day (or two) off to make an impact. While you’re at it, take advantage of $1,000/year in donation matching to charitable organizations!- 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
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc
  • Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow
  • Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams
  • Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production
  • 4+ years of experience in ML engineering or applied ML roles

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