Sr Machine Learning Engineer

Pinterest Job Advertisements • San Francisco, CA

2d • $246,916 - $332,012 • Remote

About The Position

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Requirements

• PhD (or foreign equivalent) in Computer Science, Software Engineering, or closely related quantitative discipline OR Master’s degree (or its foreign degree equivalent) in Computer Science, Software Engineering, or closely related quantitative discipline and three (3) year of experience in the job offered or in any occupation in related machine learning occupation.
• Python
• Java
• Solving analytical problems using quantitative approaches
• Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
• Algorithms, data structure
• Recommender systems
• NLP
• Signal processing
• data mining
• Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources.

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 Machine Learning models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree