Sr. Machine Learning Engineer, Applied Research Science
$189,721–$332,012 year
On-site · San Francisco, California, United States or Palo Alto, California, United States
Job Summary
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Collaborate across teams to enhance ML models for diverse product interfaces (including Homefeed, Ads, Growth, Shopping, and Search). Utilize data-driven methods to improve candidate retrieval in a high-impact environment that promotes quick experimentation and product launches. Stay updated with industry trends in recommendation systems.
Required Qualifications
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
Desired Qualifications
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Additional Requirements
- US based applicants only
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