Machine Learning Engineer II, Core Engineering at Pinterest

**Who this is for** This role is for a skilled machine learning engineer passionate about building large-scale, personalized recommendation systems that enhance

Work type: remote

Location: Toronto, ON, CA

Salary: $170,840 – $220,840/yr

Type: Full-time

Summary

**Who this is for** This role is for a skilled machine learning engineer passionate about building large-scale, personalized recommendation systems that enhance user engagement on a global scale. **Key highlights** You will gain hands-on experience with massive datasets, contributing to core product surfaces like search and homefeed while leveraging state-of-the-art deep learning techniques. **You might be a good fit if you...** - Have 2+ years of industry experience with ML applications such as ranking, NLP, or reinforcement learning. - Possess expertise in building end-to-end data processing pipelines using big data technologies like Hadoop or Spark. - Are familiar with scalable real-time systems that process large streams of data. - Embrace AI-powered developer tools to accelerate the experimentation, debugging, and testing of models.

Job Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the [flexibility](https://www.pinterestcareers.com/our-life/pinflex/) to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process [here](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

What you’ll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest

• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas

• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval

• Work in a high-impact environment with quick experimentation and product launches

• Keeping up with industry trends in recommendation systems

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)

• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

• M.S. or PhD in Machine Learning or related areas

• Expertise in scalable realtime systems that process stream data

• Passion for applied ML and the Pinterest product

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.

• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our [PinFlex](https://www.pinterestcareers.com/pinflex/) page to learn more about our working model.

• 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 will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Canada based applicants only
$170,840—$220,840 CAD

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