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Senior Data Scientist, Machine Learning (Nlp)

Company

Discord

Address San Francisco, CA, United States
Employment type FULL_TIME
Salary
Category Software Development
Expires 2023-07-21
Posted at 10 months ago
Job Description
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 providing people with belonging in online communities. 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


  • 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
  • Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product
  • Build predictive models on massive data sets to support high impact company projects


What you should have


  • The ability to explain complex findings and technical approaches to a variety of audiences
  • Last but not least - a collaborative attitude and natural curiosity!
  • Expertise and experiences in neural networks or reinforcement learning
  • Expertise and experiences in modern NLP, large language models or generative AI
  • Knowledge of SQL
  • Curious, passion for learning, self-motivated, and excited about solving open-ended challenges.
  • Expertise and experiences in both supervised and unsupervised learning
  • Proficiency with Python
  • Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
  • Desire to work with amazing, passionate all kinds of partners who care about solving challenging problems to improve Discord for its users
  • Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics
  • 4+ years of industry experience in developing and productionizing applied machine learning for solving business problems


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


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


About Us


Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.


We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!