About Pinterest
Discover and save creative ideas visually
Key Highlights
- 450 million monthly active users as of 2022
- Public company (NYSE: PINS) with a valuation of $15 billion
- Headquartered in SoMa, San Francisco, CA
- Raised over $1.5 billion in funding since inception
Pinterest, headquartered in San Francisco, CA, is a visual discovery platform that allows users to save and share creative ideas through digital pinboards. With over 450 million monthly active users as of 2022, Pinterest has become a go-to platform for inspiration, particularly in lifestyle and DIY ...
π Benefits
Pinterest offers competitive salaries, equity options, generous PTO policies, and flexible remote work arrangements. Employees also benefit from welln...
π Culture
Pinterest fosters a culture of creativity and inspiration, encouraging employees to explore new ideas and approaches. The company values visual discov...
Machine Learning Engineer β’ Senior
Skills & Technologies
Overview
Pinterest is hiring a Senior Machine Learning Engineer to build cutting-edge technology that personalizes user experiences. You'll work with deep learning and machine learning models to enhance various product surfaces. This role requires expertise in Python and machine learning frameworks.
Job Description
Who you are
You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying machine learning models at scale. Your expertise in deep learning allows you to create innovative solutions that enhance user experiences on platforms like Pinterest. You are proficient in Python and have hands-on experience with machine learning frameworks such as TensorFlow and Keras. You understand the intricacies of data analysis and can leverage large datasets to drive insights and improvements in machine learning models. You are passionate about keeping up with industry trends in recommendation systems and are eager to apply your knowledge to real-world challenges.
Desirable
Experience with recommendation systems and personalization techniques is a plus. Familiarity with data-driven methods and the ability to experiment quickly in a high-impact environment will set you apart. You thrive in collaborative settings, working closely with cross-functional teams to achieve common goals.
What you'll do
In this role, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner closely with teams across Pinterest to experiment and improve machine learning models for various product surfaces, including Homefeed, Ads, Growth, Shopping, and Search. Your work will involve using data-driven methods to leverage the unique properties of Pinterest's data to enhance candidate retrieval and improve user engagement. You will be responsible for keeping up with industry trends in recommendation systems and applying this knowledge to drive innovation within the team. Your contributions will have a direct impact on the user experience, helping millions of people find inspiration on Pinterest.
What we offer
Pinterest offers a dynamic work environment where you can ignite innovation and transform your passion into growth opportunities. You will have hands-on access to an incredible vault of data, allowing you to contribute to large-scale recommendation systems in ways you wonβt find anywhere else. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to bring everyone the inspiration to create a life they love.
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