This role is roughly 80% software engineering and 20% data science. You will work with Go, TensorFlow, PostgreSQL and various Google Cloud Platform tools to develop "the brain" of the platform. Specifically, you will:
Solve problems using mechanistic, bottom-up thinking and statistical, top-down approaches
Develop novel mechanisms by which to optimize supply chain
Build and improve the intelligence behind our logistics simulations and market optimization algorithms
Implement and ship models to predict the demand for commodities at nodes in a logistics network, the availability of supply, estimated arrival times, delays and more
Requirements
Here are some qualifications we look for:
Ability to design and implement AI tools in Go
Experience in at least one ML framework, such as TensorFlow, Keras, PyTorch, etc.
Experience building solutions involving algorithms, optimization, reinforcement learning, artificial neural networks, discrete event simulation and case based reasoning
Ability to execute with little oversight and to solve problems quickly
Experience with function/path optimization and some of the more common algorithms - linear programming, BOBYQA, A* Search, simulated annealing