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Machine Learning Engineer

We are growing our Machine Learning/AI team, so this is a high impact and high ownership opportunity. If you’re a talented engineer interested in solving real-world problems and building an amazing business, we are the perfect place for you to come and do the best work of your life.
You will be responsible for:
Build state of the art machine learning systems that assist in orchestrating logistics, manage compliance adherence and aid in taking every day decisions around supply chains, suppliers/customers, production plans and so on
Design and maintain scalable predictive models over a large number of features in line with product goals
Own the ML implementation process: model design, feature planning, testing, production setup, and monitoring, and release management
Take an idea from small-scale research to large-scale real-world applications impacting one of the largest industries in the world "Logistics Across Borders"
Guide our product roadmap with a lens of deep learning and machine learning
You should have:
2+ years of industrial experience
Strong understanding of models and underlying mathematics at play
Demonstrated understanding of various algos (Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memories, etc.) and frameworks (Theano/ Tensorflow/ Caffe etc.)
Extensive computer vision and deep learning research experience, specifically applied to images, data and natural language
Ability to break down difficult concepts into simple explanations for others
Experience with processing documents and text
Experience in GP-GPU programming environments (Cuda, OpenCL, etc.)
Strong coding chops (previous industry coding experience will be a bonus)
Familiarity with web technologies
Familiarity with distributed systems and methodologies: Spark, Hadoop, etc
Experience with at least one NoSQL database
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