Associate Director of Applied Machine Learning (Search & Personalization)

Added: 8/13/2021

REF: 12339

Contract: Permanent

Location: Minneapolis, Minnesota, United States

Director of Applied Machine Learning

We are a Fortune 100 Technology & Consumer goods organization dedicated to building a best in class 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 Director of Machine Learning you will be responsible for spearheading research, development, and implementation of next-gen ML platforms across multiple technical teams. This role has a particular focus building highly scalable recommendation, personalization, and search systems.

 

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
  • Leading a team of 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
  • 5+ 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)

 

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)

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