Data-Driven Monetization Engineer, Machine Learning Expert
5 days ago
Discover a challenging role as a Data-Driven Monetization Engineer at Pinterest. This position is perfect for someone with a passion for machine learning and data analysis.
Company OverviewPinterest is a leading platform where millions of people come to find new ideas every day. Our mission is to help users find their inspiration and create a life they love. As a Data-Driven Monetization Engineer, you will be part of the team that helps us achieve this mission.
Job DescriptionThis role involves building cutting-edge technology using the latest advances in deep learning and machine learning to personalize the user experience on Pinterest. You will work closely with teams across the company to experiment and improve ML models for various product surfaces, such as Homefeed, Ads, Growth, Shopping, and Search. Your goal will be to leverage data-driven methods and unique properties of our data to improve candidate retrieval and enhance content understanding.
SalaryThe estimated salary for this position is between $122,887 and $253,692 USD per year.
Required Skills and Qualifications- A degree in computer science, statistics, or a related field
- 2+ years of industry experience applying machine learning methods, including 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, such as Hadoop/Spark
Pinterest offers a range of benefits, including:
- A competitive salary range of $122,887 - $253,692 USD per year
- An opportunity to work on high-impact projects with quick experimentation and product launches
- A chance to collaborate with talented engineers and learn from their experiences
Pinterest is an equal opportunity employer and welcomes applications from qualified candidates regardless of race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.
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