Sr. Machine Learning Engineer, Monetization Engineering
$189,721–$332,012 year
Hybrid · San Francisco, California, United States or Palo Alto, California, United States
Job Summary
Develop and execute a vision for the evolution of the machine learning technology stack within Ads at Pinterest. Responsibilities include building cutting edge technology using advances in deep learning, collaborating across teams to enhance ML models for product surfaces, utilizing data-driven methods for candidate retrieval improvement, and keeping abreast of trends in recommendation systems. Requires 2+ years industry experience in machine learning, experience in data processing pipelines and large-scale ML systems, and knowledge of recommender systems.
Required Qualifications
- 2+ years of industry experience applying machine learning methods
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
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
- Background in computational advertising
Additional Requirements
- US based applicants only
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.