1 year ago
Base Salary
$177k - $310k/yr
Responsibilities
- Build deep learning and machine learning technology to personalize Pinterest.
- Partner with teams across Pinterest to experiment with and improve machine learning models for Homefeed, Ads, Growth, Shopping, and Search.
- Use data-driven methods and Pinterest’s data properties to improve candidate retrieval.
- Work in a high-impact environment with rapid experimentation and product launches.
- Stay current with industry trends in recommendation systems.
Requirements
- At least 4 years of industry experience applying machine learning methods such as user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
- Hands-on end-to-end experience building data processing pipelines, large-scale machine learning systems, and big data technologies such as Hadoop and Spark.
- MS or PhD in Computer Science, machine learning, NLP, Statistics, Information Sciences, or a related field, or equivalent experience.
- Publications at top machine learning conferences are preferred.
- Expertise in scalable real-time systems that process stream data is preferred.
Benefits
- Remote work model is indicated; the role is not eligible for relocation assistance.
- The position is eligible for equity.
- The posting is open to US-based applicants.
Tech Stack
Apache HadoopApache Spark
Categories
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.