Hospitable.com
Reposted : Staff Software Engineer, Machine Learning
Hospitable.com, San Francisco, California, United States, 94199
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 . Youll 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
Discords platform is growing far beyond just voice chatits 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 youve 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: Youve 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 Staff Software Engineer (UI/UX Specialist) - United States
Safety By Design Policy Expert, Developer Platform - CA (San Francisco)
Financial Analyst, Business Partnership,Senior #J-18808-Ljbffr
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 . Youll 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
Discords platform is growing far beyond just voice chatits 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 youve 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: Youve 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 Staff Software Engineer (UI/UX Specialist) - United States
Safety By Design Policy Expert, Developer Platform - CA (San Francisco)
Financial Analyst, Business Partnership,Senior #J-18808-Ljbffr