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Senior Machine Learning Engineer

Toronto, ON

Role Responsibilities

  • A team player who can work within an integrated team of product managers, designers, and developers. 
  • Expert critical thinking and problem-solving skills with a keen eye to apply machine learning solutions to solve interesting customer problems. 
  • Effectively translate requirements into feasible machine learning solutions.
  • Develop, drive, and execute the long-term vision and strategy for content understanding and machine learning platforms.
  • Ensure the development of consistent high quality data products.
  • Standardize data quality measurements by establishing metrics, building tools and processes.
  • Work with external vendors and aid build vs buy decisions.
  • Work closely with data privacy and data security teams  to help guide the data privacy policies and comply with data protection regulations.
  • Research state-of-the-art methods in language modelling and related natural language. processing problems, data extraction, and other machine learning problems.
  • Prototype novel methods and productionize promising methods.
  • Build  machine learning pipeline.
  • Live our company values of humble, hungry, and care

Requirements

  • BS, MS or Ph.D. in Computer Science or related field
  • 3+ years of professional or academic experience in machine learning
  • 5+ years of experience building clean, maintainable, and well-tested code.
  • You are adept at machine learning algorithms.
  • Proven ability to apply, debug, and develop machine learning models for real-world applications (especially NLP)
  • Accomplished problem solver, able to think both creatively and methodically.
  • Able and eager to learn about the latest technologies and ML best practices.
  • Effective communicator who can translate complex technical concepts into simple ideas depending on the audience.

Bonus Attributes

  • Hands-on experience on large scale machine learning systems (full ML stack from modelling to deployment at scale.)
  • Hands-on experience with big data technologies (e.g., Hadoop/Spark).
  • Hands-on experience with medical data.

Workplace Perks

  • Health and Lifestyle benefit spending accounts
  • Results-oriented work environment
  • Frequent wellness initiatives
  • Currently in a work from home environment with offices in Toronto, Waterloo, and Dallas
  • A positive, diverse, and growth-oriented team environment
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