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 ...
🎁 Benefits
Pinterest offers competitive salaries, equity options, generous PTO policies, and flexible remote work arrangements. Employees also benefit from welln...
🌟 Culture
Pinterest fosters a culture of creativity and inspiration, encouraging employees to explore new ideas and approaches. The company values visual discov...
Skills & Technologies
Overview
Pinterest is hiring a Machine Learning Engineer II to build personalized experiences using cutting-edge technology. You'll work with deep learning and machine learning to enhance various product surfaces. This role requires expertise in data-driven methods and collaboration across teams.
Job Description
Who you are
You have a solid background in machine learning and deep learning, with experience in building and improving models that enhance user experiences. You are proficient in Python and have a strong understanding of data analysis techniques. You thrive in collaborative environments, working closely with cross-functional teams to experiment and iterate on machine learning models. You stay updated on industry trends, particularly in recommendation systems, and are eager to apply this knowledge to real-world challenges. You understand the importance of data-driven decision-making and are skilled at leveraging unique data properties to improve outcomes.
Desirable
Experience with large-scale recommendation systems is a plus, as is familiarity with various product surfaces such as home feeds, ads, and shopping. You are comfortable working in a high-impact environment where quick experimentation and product launches are the norm. A passion for creativity and innovation aligns with Pinterest's mission to inspire users.
What you'll do
In this role, you will build cutting-edge technology that utilizes the latest advances in machine learning and deep learning to personalize the Pinterest experience. You will partner with teams across the organization to experiment with and improve machine learning models for various product surfaces, including the home feed, ads, growth, shopping, and search. Your work will involve using data-driven methods to enhance candidate retrieval and improve overall model performance. You will engage in quick experimentation and product launches, contributing to a high-impact environment where your insights can lead to significant improvements. You will also keep up with industry trends in recommendation systems, ensuring that Pinterest remains at the forefront of innovation in this space.
What we offer
Pinterest offers a dynamic work environment where creativity and innovation are encouraged. You will have hands-on access to a wealth of data, allowing you to contribute to large-scale recommendation systems in unique ways. The company values flexibility and supports employees in creating a career they love. With a mission to inspire users, Pinterest fosters a culture of collaboration and growth, making it an exciting place to work for those passionate about technology and user experience.
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