1 year ago
Palo Alto, CA, USA +2 moreMid Level
H1B sponsor
Base Salary
$130k - $267k/yr
Responsibilities
- Build deep learning and machine learning technology to personalize Pinterest.
- Partner with teams across Homefeed, Ads, Growth, Shopping, and Search to experiment with and improve ML models.
- Use data-driven methods to improve candidate retrieval.
- Develop the vision for the evolution of the machine learning technology stack within Ads.
- Keep current with recommendation-system trends and leverage LLMs to improve content understanding.
Requirements
- At least 2 years of industry experience applying machine learning methods such as user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, or graph representation learning.
- A degree in computer science, statistics, or a related field is required.
- Hands-on end-to-end experience building data processing pipelines, large-scale machine learning systems, and big data technologies such as Hadoop or Spark.
- Practical knowledge of large-scale recommender systems or modern ads ranking, retrieval, targeting, or marketplace systems.
- Preferred qualifications include an M.S. or PhD in machine learning or a related area, publications at top ML conferences, scalable real-time stream-processing experience, applied ML experience, and a computational advertising background.
Benefits
- Hybrid work model as indicated by #LI-HYBRID
- Eligible for equity
- Not eligible for relocation assistance
- 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.