Machine Learning Engineer II

What you’ll do:

• Impact & Mission. Join a team that works to implement a wide range of machine learning algorithms to deliver value for Pinners and Creators. 
• Fast iterations. Prototype through fast iteration to explore and demonstrate opportunities for all of Pinterest’s global Pinners and Creators.
• Collaboration. Integrate with many other internal engineering teams across Pinterest to support the end-to-end user journeys. Work in dynamic and diverse environments alongside engineering, products and designers. Evangelization across engineering to implement and adopt best practices to simplify our codebase and promote growth.
• Ownership. Take ownership of product quality and release processes to deliver high quality user experiences.
• Feature Development. Work across all parts of the stack and be flexible working with different technologies.
• Inspiration. Research the most novel approaches by reading state-of-the-art articles, analyzing open source repositories and discussing with the team.
• Efficiency. Optimize performance and cost efficiency by using the most advanced techniques.  
• Team. Working on improving current deep learning technologies, for example, object detection, classification, segmentation, visual similarity, data pipelines and some novel technologies in the area of generative AI.

What we’re looking for:

• 4+ years of software engineering experience.
• 2+ years of industry experience in machine learning, in particular Deep Learning for Computer Vision using Pytorch framework.
• Deep understanding of modern architectures of Neural Networks for CV problems.
• Expertise in Python programming language for building effective pipelines for solving Machine Learning tasks.
• Mandatory knowledge of computer science fundamentals.
• Self-driven and openness to learn quickly, explore, flexibility without being afraid to dig deep.
• Strong communication skills and great product intuition.
• Bachelor’s degree in a relevant field such as Computer Science or equivalent experience.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role might need to be in the office for in-person collaboration 1-2 times a month, therefore you can be located anywhere in the country.

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