Senior Data Scientist, Machine Learning

Full time

Employment Information

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Discord is looking for experienced and passionate Machine Learning Data Scientists to join our Data Science team! You’ll use your expertise in Machine Learning to help Discord achieve our mission of creating the best place to hang out with friends online. If you’re passionate about data, growth, and working on an amazing team, read on and check out our blog about how our team informs strategy & innovation at Discord here!

What you’ll be doing

  • Apply state-of-the-art machine learning techniques to provide a deeper understanding of users and our product
  • Build predictive models on massive data sets to support high impact company projects
  • Brainstorm, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact
  • Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure

What you should have

  • 4+ years of industry experience in developing and productionizing applied machine learning for solving business problems
  • Proficiency and experience in both supervised and unsupervised learning.
  • Strong expertise in at least one of the following cutting-edge ML areas: generative AI and LLM, graph neural networks, recommender system, causal ML, reinforcement learning, multi-armed bandit learning.
  • Extensive experience in working with unstructured data and graph data.
  • Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics
  • Proficiency with Python
  • Working knowledge of SQL
  • Experience working with industry-standard machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
  • The ability to explain complex findings and technical approaches to a variety of audiences
  • Desire to work with amazing, passionate partners who care about solving challenging problems to improve Discord for its users
  • Last but not least - a collaborative attitude and natural curiosity!

Bonus Points

  • Expertise and experiences in explainable and trustworthy ML/AI

The US base salary range for this full-time position is $204,000 to $235,000 + 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.

Benefits and Perks

  • Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
  • Mental health resources and quarterly wellness stipends
  • 14+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
  • Paid parental leave (plus fertility, adoption and other family planning benefits)
  • Flexible long-term work options (remote and hybrid)
  • Volunteer time off
  • A diverse slate of Employee Resource Groups
  • Plus commuter contributions and other perks for office-based employees

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