Machine Learning Engineer, Core Engineering
$138,905–$285,982 year
Remote · San Francisco, California, United States or Palo Alto, California, United States
Job Summary
Build cutting edge technology using advances in deep learning and machine learning to personalize Pinterest. Partner with teams to experiment and improve ML models across various product surfaces like Homefeed, Ads, Growth, Shopping, and Search. Utilize data driven methods to enhance candidate retrieval and engage in a high-impact environment with rapid experimentation and launches. Requires 2+ years of experience in machine learning methodologies and hands-on building of data processing pipelines.
Required Qualifications
- 2+ years of industry experience applying machine learning methods
- 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
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Additional Requirements
- US based applicants only
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