Machine Learning Engineer

Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most.
$309,798 - $411,650
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
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Description For Machine Learning Engineer

Pinterest is seeking a Machine Learning Engineer to join their team. In this role, you'll be challenged to uphold Pinterest's mission of helping people find inspiration and create a life they love. You'll work on building models and systems to connect Pinners with products offered by partners, improve machine learning models for ads targeting, develop new techniques for inferring user interests from online activity, and build ad targeting systems to find the most relevant users through interest, keyword, and audience targeting. You'll also work on large-scale data systems, backend services, and product integration.

The ideal candidate should have a strong background in machine learning, with experience in recommendation systems, natural language processing, and ad targeting. Proficiency in programming languages such as C++, C, Python, and frameworks like TensorFlow and PyTorch is required.

Pinterest offers a progressive work model called PinFlex, which provides a flexible approach to living and working. The company is committed to diversity, equity, and inclusion, making employment decisions based on merit and considering all qualified applicants regardless of background.

This position offers a competitive salary range of $309,798.25 - $411,650.00 per annum, along with standard company benefits. The role may require frequent travel (2-3 days a week) to Pinterest offices, so willingness to relocate or travel accordingly is necessary.

Join Pinterest and be part of a team that's shaping the future of inspiration and creativity online!

Last updated 9 months ago

Responsibilities For Machine Learning Engineer

  • Build models and systems to connect Pinners with products offered by partners
  • Build and improve machine learning models for ads targeting
  • Develop new techniques for inferring user interests from online activity
  • Build ad targeting system to find the most relevant users through interest, keyword and audience targeting
  • Work on large scale data systems, backend services and product integration

Requirements For Machine Learning Engineer

Python
  • Master's degree or foreign equivalent in Computer Science, Engineering, or related quantitative discipline with 2 years of experience, OR Bachelor's degree in the same fields with 5 years of experience
  • Experience with C++
  • Experience with C
  • Experience with TensorFlow
  • Experience with Python
  • Knowledge of Recommendation Systems
  • Experience with PyTorch
  • Machine Learning expertise
  • Natural Language Processing skills

Benefits For Machine Learning Engineer

Equity
  • Equity
  • Standard company benefits

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