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Machine Learning Engineer
Shopping Content Mining
Posted on 10/13/2022
Toronto, ON, Canada
Experience Level
Desired Skills
Natural Language Processing (NLP)
  • 2+ years of industry experience
  • Hands-on experience on large scale machine learning systems (full ML stack from modelling to deployment at scale.)
  • Experience with production large scale serving or data systems
  • Nice to have:
  • PhD/Masters in Machine Learning or related areas, publication on top ML conferences
  • Familiarity with information extraction techniques for web-pages and free-texts
  • Design and build large scale ML systems that can process billions of webpages
  • Train ML models to create representations of HTML pages, classify webpages and extract structured information from webpages
  • Create NLP systems to extract information from free form text and link
  • Manage lifecycle and productionization of ML solutions, from data gathering to data quality management to measuring impact via experiments
  • Drive cross functional collaborations with partner teams
  • Help research novel solutions and present results via papers, blog posts or conference talks
Desired Qualifications
  • Experience working with shopping data is a plus

1,001-5,000 employees

Photo and video sharing platform
Company Overview
Pinterest's mission is to bring everyone the inspiration to create a life they love. It’s the biggest dataset of ideas ever assembled, with over 200 billion recipes, home hacks, style inspiration and other ideas to try. More than 430 million people around the world use Pinterest to dream about, plan and prepare for things they want to do in life.
  • Flexible and generous vacation and holidays
  • Global year-end paid company holiday closure
  • Comprehensive mental and physical health benefits for you and your family
  • Retirement plans that allow for tax savings
  • Fitness offerings
  • Personal and professional development resources
  • Adoption support, paid parental leave, egg freezing (in the US) and other family building benefits
  • Discounts and perks
  • Meals and snacks in the office
Company Core Values
  • Put Pinners first
  • Aim for extraordinary
  • Create belonging
  • Act as one
  • Win or learn