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Hospitable.com

Reposted : Staff Software Engineer, Machine Learning

Hospitable.com, San Francisco

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Reposted : Staff Software Engineer, Machine Learning

Discord Moderator Jobs

Job Description

Title : Staff Software Engineer – Machine Learning

Location : Remote (U.S.-based only)

Plus : Equity + Full Benefits

Team : Discovery/Engagement ML

Mission : Build ML-driven systems to power recommendations, personalization , and discovery experiences that engage Discord's 200M+ monthly users.

About the Role

This is a senior IC (individual contributor) role focused on building state-of-the-art recommender systems . You’ll design and deploy low-latency, high-throughput ML models that impact discovery, notifications, and user engagement at massive scale.

Discord is looking for a technical leader who can shape architecture , solve systemic ML challenges, and drive product impact through intelligent personalization.

  • Architect and build scalable ML-powered systems (e.g., recsys, personalization, ranking).
  • Use advanced techniques like:
  • Transformer-based models
  • Multi-task learning
  • Deep reinforcement learning
  • Optimize for both speed of iteration and long-term scalability .
  • Lead complex cross-functional initiatives with Product, Data, and Engineering.
  • Use real-world user behavior and feedback to shape modeling strategies.

Must-Have Qualifications

  • 8+ years in applied ML, including production deployment of large-scale models.
  • Deep expertise in recommendation systems (two-tower, transformer-based, etc. ).
  • Mastery of Python and frameworks like PyTorch, JAX, TensorFlow .
  • Proven record of:
  • Designing end-to-end ML pipelines
  • Scaling inference systems for millions of users
  • Driving measurable product outcomes
  • Strong communication and leadership in ambiguous or complex environments.
  • Experience deploying ML in real-time, latency-sensitive applications.
  • Whole-page optimization or multi-objective ranking .
  • Reinforcement learning in production (e.g., reward tuning, bandits).
  • Building user embeddings , user modeling , or profile enrichment for personalization.
  • Familiarity with distributed training frameworks (e.g., DDP , Ray , Horovod ).
  • Experience with large-scale streaming/data pipelines (Flink , Spark , etc.).

Why This Role Is Important

Discord’s platform is growing far beyond just voice chat—it’s now a content-rich ecosystem of communities, creators, events, bots, games, and more. This role will help unlock the right experience for the right user at the right time , deeply shaping engagement , retention , and user satisfaction .

If you’ve worked on YouTube, TikTok, Spotify, Meta, Pinterest , or similar large-scale ML-driven platforms, your experience would be directly relevant here.

Should You Apply?

Absolutely yes , if:

  • You’ve led production ML efforts for personalization, ranking , or recommendation
  • You want to be a technical leader rather than move into management
  • You care about performance, scale, and measurable product impact
  • You want to apply cutting-edge ML research in a massive-scale environment

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