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60 Pinterest Product Development Jobs Hiring Near You

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What is it like to work at Pinterest?

Pinterest is known for its collaborative and creative work environment, where employees are encouraged to take ownership and experiment with innovative ideas. The company has a flat organizational structure, with cross-functional teams working together to drive product development and user experience, and a focus on making a positive impact on users' lives through its mission to 'help people discover and do what they love.' Working at Pinterest may appeal to candidates who value a dynamic and inclusive work culture, opportunities for growth and learning, and the chance to contribute to a platform that inspires and empowers users around the world.

What makes Pinterest an attractive place to work?

Pinterest is a leading social media platform known for its visually-driven approach to discovery and inspiration, with a strong focus on community and user experience. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for employees to work on diverse projects and contribute to the platform's growth. Joining Pinterest offers professionals a chance to be part of a dynamic and forward-thinking organization, with opportunities for impact, growth, and professional development in a rapidly evolving industry.

What are the most popular job types at Pinterest?

    What are the most popular jobs at Pinterest?

    What are the most popular categories at Pinterest?

    Infographic showing various Product Development job openings at Pinterest in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 27% Physical, 14% Hybrid, and 59% Remote job distribution.

    Sr. Machine Learning Engineer, Core Engineering

    Pinterest

    San Francisco, CA • On-site

    $189K - $332K/yr

    Other

    Re-posted 24 days ago

    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 theflexibility 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.

    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 3,000 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

    What we're looking for:

    • 4+ 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)
    • Degree in computer science, machine learning, statistics, or related field
    • Nice to have:
      • Publications at top ML conferences
      • 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
      • Expertise in scalable realtime systems that process stream data
      • Passion for applied ML and the Pinterest product
      • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

    Relocation Statement:

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

    #LI-SA1

    #LI-REMOTE

    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. The position is also eligible for equity. 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.

    US based applicants only
    $189,721—$332,012 USD

    Our Commitment to Inclusion:

    Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis form for support.
    By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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