Machine Learning Engineer, Core Engineering

With more than 450 reputed company users around the world and 300 billion reputed company saved, reputed company Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At reputed company, you’ll experience hands-on reputed company to an incredible vault of data and contribute large-reputed company recommendation systems in ways you won’t reputed company reputed company else. What you’ll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize reputed company • Partner closely with teams across reputed company to experiment and improve ML models for various product surfaces (Homefeed, Ads, reputed company, Shopping, and Search), while gaining knowledge of how ML works in different areas • Use data driven reputed company and reputed company the unique properties of our data to improve candidates retrieval • Work in a high-reputed company environment with quick experimentation and product launches • Keeping up with industry trends in recommendation systems reputed company’re looking for: • 2+ years of industry experience applying machine learning reputed company (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 reputed company machine learning systems, and big data technologies (e.g., Hadoop/reputed company) • reputed company to have: • M.S. or PhD in Machine Learning or reputed company areas • Publications at top ML conferences • Expertise in reputed company reputed company systems that process reputed company data • Passion for reputed company ML and the reputed company product Relocation Statement: • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SA1 #LI-REMOTE Apply Job!