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Machine Learning Engineer At Loblaw Digital

Location: Toronto, Ontario

Job Description

As Canada’s largest retailer, with well-established and widely-used loyalty programs, we have an enviable wealth of data at our disposal – and it’s now time to deploy it in the service of an evolving and superior customer experience. The data science team here is small, but growing fast. More importantly, the data science team is more than just analytics: we ship actual product, in the form of models that directly impact user experience.


We’re looking to increase the engineering horsepower of our data science team so that we can work seamlessly with the regular applications engineering organization on joint projects. We’re looking for a solid software engineer with a data science background who is comfortable in both worlds, can contribute to ambitious ML-based projects, but also help us to write reliable microservices and stream-processing systems to deliver data and insights downstream at the pace required by the business. Experience working with NLP and/or ML techniques is preferred, though is secondary to your software engineering skillset for this role.


Responsibilities:


  • Work cross-functionally with engineering, product, and data science teams to expose the work of the data science team to the broader organization through a Service Oriented Architecture (SOA)
  • Develop robust, high performance streaming solutions for transforming the various data sources produced by other parts of the business into training data, inputs to models, and actionable insights
  • Build scalable personalization and recommendation features for the Loblaw Digital eCommerce platform
  • Develop predictive models to help inform business decisions based upon shifts in consumer behavior.

Minimum qualifications:

  • BA/BS in math, engineering, computer science, or related technical field, or equivalent practical experience
  • 2 years’ work or educational experience in Machine Learning or Artificial Intelligence
  • Proficient in at least 1 compiled language, and at least 1 other programming language
  • Familiar with the concepts and idioms of functional programming
  • Comfortable with at least some of the latest “big-data” tools, such as spark, kafka, hive, beam, etc.
  • Experience with at least one modern REST framework (flask/Sinatra/express/etc)

Preferred qualifications:

  • MS or PhD in math, engineering, computer science, or related technical field, or equivalent practical experience
  • Familiar with JVM languages and associated ecosystem
  • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
  • Experience with cloud environments such as AWS/GCP/Azure

#LI-BT1



How You’ll Succeed:

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.


We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.


If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.


Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.



Employment Type:

Full time

Type of Role:

Regular

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.


In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.