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Machine Learning Engineer II, Ads

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Machine Learning Engineer II, Ads in Canada

  • Instacart
  • Full time
  • Email
  • Remote

Responsibilities

  • Design, develop, and deploy machine learning solutions involving data pipelines, model architectures, and serving integrations for advertising systems.
  • Formulate ambiguous modeling problems and translate business observations into ML research directions with clear evaluation criteria.
  • Collaborate with product managers, data scientists, and infrastructure engineers to develop impactful ML applications.
  • Refine and advance algorithms and models to improve operational efficiency and advertising outcomes.
  • Publish and present findings internally and contribute to design reviews, paper sharing, and experiment retrospectives.

Requirements

  • Graduate degree (master’s or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field.
  • Strong programming skills and fluency in SQL, Spark, Pandas, classical machine learning, and deep learning tools.
  • Strong analytical and problem-solving skills.
  • Strong communication and collaboration skills across diverse stakeholders.
  • Preferred: 1–2 years of industry experience applying machine learning to real-world problems with large datasets.
  • Preferred: knowledge of sequential modeling, Transformer architecture, and foundation models.
  • Preferred: familiarity with LLM integrations, agentic workflows, and productivity tooling.
  • Preferred: experience building large-scale online recommendation systems.

Benefits

  • Remote Flex First work arrangement, with flexibility to work from home, an office, or another preferred location.
  • Eligible for a new-hire equity grant and annual refresh grants.
  • Hiring is currently limited to Ontario, Alberta, British Columbia, and Nova Scotia for Canadian candidates.
  • Base pay range is CAD 154,000–162,500, excluding equity and other compensation.

Instacart

Instacart is a leading grocery technology company that partners with more than 2,200 retail banners – representing nearly 100,000 stores – to transform how people shop for the groceries they need from the retailers they trust, while creating flexible earning opportunities for shoppers. Through th...

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