ML Engineer , Core engineering
Location :
San Francisco, CA, USA
Job Type :
Key Responsibilities
1. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
2. 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
3. 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
Job Descripition
Pinterest is looking for a Machine Learning Engineer to join our team and help shape the future of discovery. In this role, you will design and deploy cutting-edge machine learning models that drive user engagement and power core features like recommendations, personalization, ranking, and search. You’ll work closely with product, data, and engineering teams to solve real-world challenges at scale.
About Company
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 to do your best work. Creating a career you love? It’s Possible. 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.