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InternHybridToronto, ON

Machine Learning Engineer

P
Pinterest
Зарплата
$11,300–$13,500
Уровень
Intern
Формат
Hybrid
О роли

Описание вакансии

About the company

  • Pinterest is a platform with over 640 million users and 300 billion ideas saved, focused on bringing inspiration to create a life people love.
  • AI is a core partner in augmenting creativity and impact.

Responsibilities

  • Conduct applied machine learning research to address product and platform challenges.
  • Collect, analyze and synthesize data to develop data-driven machine learning models.
  • Write maintainable, efficient code and contribute to testing and code-review practices.
  • Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads and search.
  • Design, build and test recommendation and engagement-prediction models for push, email and in-app notifications.
  • Develop and iterate on large-scale applied machine learning systems.
  • Scope, implement and deliver solutions for moderately complex ML problems.
  • Use AI to accelerate analysis and iteration while applying judgment and verification.

Requirements

  • Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
  • Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval).
  • Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems processing stream data.
  • Mastery of at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLflow).
  • Cross-functional collaborator and strong communicator.
  • Comfortable solving ambiguous problems and adapting to a dynamic environment.
  • Experience in research and solving analytical problems.

Conditions

  • Onsite internship based in Toronto office, requiring a few days in office.
  • Full-time capacity during typical business hours Monday-Friday.
  • In-office for in-person collaboration 2-3 weekdays per week, within commutable distance of Toronto.
  • May be eligible for relocation assistance.
  • Base salary range $135,000 - $162,000 CAD.
  • Canada based applicants only.
Стек и навыки

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