Sr Machine Learning Engineer, Applied Research Science

Pinterest • Palo Alto, CA

82d • $177,309 - $310,291

About The Position

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. As a Machine Learning Engineer, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces, while gaining knowledge of how ML works in different areas. You will work in a high-impact environment with quick experimentation and product launches, keeping up with industry trends in recommendation systems.

Requirements

• 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)
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

Nice To Haves

• Publications at top ML conferences
• Expertise in scalable realtime systems that process stream data
• Passion for applied ML and the Pinterest product

Responsibilities

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Benefits

• Base salary range of $177,309—$310,291 USD
• Eligible for equity
• Flexible working model (PinFlex)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees