Lead Machine Learning Scientist

Added: 12/15/2020

REF: 7168

Contract: Permanent

Location: Seattle, Washington, United States

Lead Machine Learning Scientist
We are a Fortune 100 Technology & Consumer Goods organization dedicated to building a best in class Data Science & Artificial Intelligence practice. We place research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams to build innovative technologies at the forefront of our core business.  

As a Lead Machine Learning Scientist you will be responsible for spearheading research, development, and implementation of next-gen ML and AI algorithms across multiple technical teams to build innovative technologies, services, and products to solve the company's most complex problems. 

Join our team if you enjoy:

  • Developing highly scalable algorithms based on state-of-the-art ML techniques 
  • Applying core software engineering fundamentals to develop and deploy practical working solutions that will scale to millions of requests per second with millisecond latency
  • Leverage deep knowledge of machine learning and computer science to contribute to the road-map of our best practice and core machine learning capabilities
  • Mentoring more junior data scientists, software engineers, and machine learning scientists to elevate the overall business


Required Qualifications:

  • B.S. in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Mathematics, Operations Research, etc) or equivalent experience (Advanced Degree preferred) 
  • Expertise in machine learning and an algorithmic background with deep understanding of at least one of the following areas: supervised and unsupervised learning methods, deep learning, reinforcement learning, graphical modeling, Bayesian inference, or nonlinear/stochastic optimization
  • 4+ years of experience building Machine Learning and/or AI products
  • 2 years of experience leading technical research, driving projects end-to-end, and production grade development efforts/teams
  • Expert proficiency with at least one data science/analytics programming language (e.g. Python, R)
  • Strong software design and implementation skills with a general-purpose programming language (e.g. OOP Python, Scala, Swift, C++/C#, Go, Java, Haskell, etc)


Nice to have:

  • Advanced Degree (Masters or Ph.D) in highly quantitative field
  • Experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
  • Experience building distributed data processing pipelines  & data streaming (e.g. Apache Spark, Apache Beam, Apache Kafka)
  • Functional programming development skills

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