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Optimization engineer

Work with Adiona
Posted: 4 November
Offer description

Urban infrastructure is struggling under the weight of population growth, congestion, and the rise of eCommerce that has been recently amplified by the pandemic. And the transport sector contributes the highest single share of global greenhouse gas emissions. Adiona uses AI and cloud mathematics to offset a significant portion of these problems by optimizing mobile fleets in innovative ways. With investors such as BMW, Telstra, and the Australian Government, and customers such as Coca-Cola, Home Delivery Services, and Parcelpoint, our technology has automated the optimal delivery of millions of products and kept megatonnes of greenhouse gases from the atmosphere. But we can do so much more. This role will help us continue to improve our algorithms and assist in customisations and proofs of concept for customers. It's a practical, hands-on role that will combine R&D, software development, and integration with cloud services. - Computer science or software engineering BS degree or higher - Demonstrated experience with common heuristic and exact optimization algorithms like linear, integer, nonlinear, or stochastic programming, genetic or evolutionary algorithms, tabu search, or others. - Understanding of logistics-specific optimization challenges such as TSP and VRP. - Experience with relevant tools and languages such as python (preferred), java (preferred), C++, matlab, R, etc. - Bonus: Knowledge of AI &ML such as SVM, Decision tree, knn, kmeans) - Bonus: Data and text analysis using Python (e.g. Pandas, scikit-learn, numpy) Candidate should have a keen eye for detail and aspire for high quality engineering and coding practices. You'll get a true startup experience in a dynamic environment dedicated to growth, exploration, and success. We're a diverse and inclusive bunch and you will get to implement cutting-edge research from PhDs around the world. Our core values include transparency, positivity, inclusivity, and quality. We are a growing team of 4 (onsite) 2 (remote) based in Surry Hills, Sydney AU and this role is ideal for those based in Sydney and willing to come onsite at least 3 days per week. Competitive salary up to $100K Super Equity Options on offer based on your experience. Check out our site to get a sense of who we are and what we do: http://www.adionatech.com

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