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Machine Learning Scientist

Machine Learning Scientist

At, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable. Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem.

We're committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and the freedom to grow into their roles.

We are looking  for for experienced machine learning scientists to drive the research and development of statistical and machine learning models that power our AI platform. This is a unique opportunity for someone who wants to grow in the world of machine learning and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

What you will be doing:

  • Research, develop, and validate models to generate recommendations, alerts, and other customer insights.
  • Research, develop, and validate models to automate customer-facing business processes.
  • Perform feature engineering and selection to support machine learning.
  • Work with business stakeholders and product manager to translate product requirements into machine learning research and development activities.
  • Work with architects and data engineers to gather and clean customer data.
  • Conduct statistical inference and unsupervised machine learning to discover trends and correlations.
  • Work with architects, data and quality assurance engineers to develop processes, monitoring, and testing automation frameworks to ensure data, insight, and model quality.
  • Work with architects and engineers on the delivery of analytical insights into product.
  • Document, communicate, and educate customers on product capabilities powered by statistical analysis and machine learning.

 You have:

  • 5+ years of hands-on machine learning experience, ideally in a high growth software development environment.
  • A PhD or Master’s Degree in Machine Learning, Applied Statistics, Operations Research, or a related quantitative discipline.
  • Deep understanding of statistical modeling and machine learning.
  • Passion about deriving insights from large datasets and you can communicate that passion to product managers and engineers.
  • Experience in the use of statistical analysis and machine learning tools, packages and languages such as Python scikit, R, Spark MLlib, SAS, TensorFlow, or MXNet.

The diverse experiences, ideas, and identities of’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives.

You are naturally curious, invest time to better understand complex concepts and have strong attention to detail. You love working in a team where trust is key and want to make an impact everyday. If this sounds like you, please apply and come work with us.

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