Role Description We are looking for engineers with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations. Location: Remote Canada Reporting to: Technology Manager, Machine Learning - Proven academic/industry experience in Machine Learning or similar, developing technologies for forecast or logistics products. - Strong coding and software engineering skills in a mainstream programming language; Python preferred. - Able to work independently and solve complex problems, with a demonstrated ability to productize and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform). - Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns. - Familiarity with ML tools and packages like TensorFlow, pyTorch etc. - Practical experience building and optimizing production quality machine learning applications making use of engineering best practices, automation and experimentation. - Understanding of machine learning algorithms and ability to apply them in data driven processing systems. - Ability to quickly prototype ideas/solutions, perform critical analysis, and use creative approaches for solving complex problems. - Ability to collaborate closely with multi-functional teams, driving forward best practices. - Clear oral and written communication. Qualifications - Researching, implementing, and deploying innovative ML techniques applicable to logistics problems. - Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases. - Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models. - Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope. Benefits - Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. - Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. - Inclusion, Diversity & Belonging: We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. Company Description Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.