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Machine Learning Engineer - Remote

Posted 2 weeks ago
Software Development
Full Time
Worldwide

Overview

As a Machine Learning Engineer at Pinterest, you will implement a wide range of machine learning algorithms to deliver value for Pinners and Creators, while collaborating with various teams to enhance user experiences.

In Short

  • Join a team focused on machine learning algorithms.
  • Prototype through fast iterations for global Pinners and Creators.
  • Collaborate with internal engineering teams.
  • Take ownership of product quality and release processes.
  • Work across all parts of the stack with different technologies.
  • Research novel approaches in machine learning.
  • Optimize performance and cost efficiency.
  • Improve deep learning technologies like object detection and generative AI.

Requirements

  • 4+ years of software engineering experience.
  • 2+ years in machine learning, especially Deep Learning for Computer Vision using Pytorch.
  • Deep understanding of Neural Networks for CV problems.
  • Expertise in Python for building ML pipelines.
  • Knowledge of computer science fundamentals.
  • Self-driven with a willingness to learn.
  • Strong communication skills and product intuition.
  • Bachelor’s degree in Computer Science or equivalent experience.

Benefits

  • Flexible work model (PinFlex).
  • Opportunities for personal and professional growth.
  • Collaborative and diverse work environment.
  • Focus on innovation and creativity.
Pinterest logo

Pinterest

Pinterest is a global platform where millions of users come to discover new ideas, find inspiration, and plan for what matters most in their lives. The company's mission is to help individuals create a life they love by providing a positive and engaging online experience. Pinterest fosters a culture of growth and collaboration, encouraging employees to bring their unique perspectives to the table. With a progressive work model called PinFlex, Pinterest emphasizes flexibility in work arrangements while maintaining a strong focus on user engagement and product innovation.

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