Director of Applied Machine Learning

About the job

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 to build innovative technologies, services, and products to solve the company’s most complex problems. This role has a particular focus on optimization to improve performance of advertising campiagns, forecasting, bidding, campaign performance, etc.

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)
Architectural design or system design experience independent of an architect
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
7+ 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

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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