Staff Machine Learning Engineer, Core Engineering
About The Position
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 600 million users around the world and 400 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. We are seeking talented Staff Machine Learning Engineers for multiple openings across our Core Engineering organization, including teams such as Search, Notifications, and Content & User Engineering. In these roles, you will drive the development of state-of-the-art applied machine learning systems that power core Pinterest experiences.
Requirements
- Degree in computer science, machine learning, statistics, or related field
- 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
- 2+ years of experience leading projects/teams
- Strong mathematical skills with knowledge of statistical methods
- Cross-functional collaborator and strong communicator
Nice To Haves
- Background in computational advertising is preferred, but not required
Responsibilities
- Design features and build large-scale machine learning models to improve user ads action prediction with low latency
- Develop new techniques for inferring user interests from online and offline activity
- Mine text, visual, user signals to better understand user intention
- Work with product and sales teams to design and implement new ad products
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
1,001-5,000 employees
