Machine Learning Engineer

Just Eat Takeaway.com • Canada, AB Remote, AB

6d • Remote

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed