1 year ago
Remote, United States +3 moreMid Level
H1B sponsor
Base Salary
$130k - $267k/yr
Responsibilities
- Build deep learning and machine learning technology to personalize Pinterest.
- Partner with teams across Pinterest to experiment with and improve ML models for Homefeed, Ads, Growth, Shopping, and Search.
- Use data-driven methods to improve candidate retrieval.
- Develop data processing pipelines and large-scale machine learning systems.
- Work in a high-impact environment focused on rapid experimentation and product launches.
- Keep current with industry trends in recommendation systems.
Requirements
- At least 2 years of industry experience applying machine learning methods, including user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, or graph representation learning.
- End-to-end hands-on experience building data processing pipelines, large-scale machine learning systems, and big data technologies such as Hadoop or Spark.
- An M.S. or PhD in Machine Learning or a related area is preferred.
- Publications at top machine learning conferences are preferred.
- Expertise in scalable real-time systems that process stream data is preferred.
- Passion for applied machine learning and the Pinterest product is preferred.
Benefits
- Remote work model indicated by #LI-REMOTE and PinFlex flexibility.
- Position is not eligible for relocation assistance.
- Equity eligibility is stated.
- US-based applicants only.
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.