Назад
1 день назад

Senior Software Engineer, Machine Learning (Safety)

220 000 - 247 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Machine Learning (Safety) (Python/PyTorch/JAX/TensorFlow): Building and deploying real-time and batch machine learning systems for content understanding, risk evaluation, and account integrity with an accent on scalable model development, data labeling, and production reliability. Focus on detecting anomalous behavior, curating golden label sets, and collaborating with product, engineering, legal, policy, and Trust & Safety teams.

Location: San Francisco Bay Area, United States

Salary: $220,000–$247,500 base salary per year, plus equity and benefits.

Company

Discord is a gaming-focused social platform that helps people connect around games and shared interests.

What you will do

  • Analyze data to identify risk patterns and inform machine learning model design.
  • Build, iterate on, and evaluate models for detecting risk and anomalous behavior.
  • Deploy real-time and batch models into production, writing backend code as needed for scalability and reliability.
  • Partner with product, engineering, design, policy, legal, and Trust & Safety teams to deliver effective machine learning solutions.
  • Curate golden label sets at scale and improve data labeling techniques for model training.
  • Document modeling approaches, monitor system performance, and apply current machine learning best practices.

Requirements

  • 4+ years of experience in machine learning engineering or applied machine learning.
  • Strong coding skills in Python and fluency with PyTorch, JAX, or TensorFlow.
  • Experience building performant machine learning systems at scale and delivering projects from ideation through production.
  • Excellent communication and collaboration skills 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.
  • Ability to approach complex problems with clear reasoning, creativity, and pragmatic solutions.

Culture & Benefits

  • Work on safety systems serving a large, highly engaged gaming community.
  • Full-time employment with equity and benefits.
  • Reasonable accommodations are available during the interview process.

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