Machine Learning Engineer, Core Engineering
Job Description:
• 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), 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
Requirements:
• 2+ 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)
• Degree in computer science, machine learning, statistics, or related field
• M.S. or PhD in Machine Learning or related areas (Nice to have)
• Publications at top ML conferences (Nice to have)
• Expertise in scalable realtime systems that process stream data (Nice to have)
Benefits:
• Equity options
• Health insurance
• Flexible work arrangements
• Professional development
Apply tot his job
Apply To this Job
• 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), 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
Requirements:
• 2+ 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)
• Degree in computer science, machine learning, statistics, or related field
• M.S. or PhD in Machine Learning or related areas (Nice to have)
• Publications at top ML conferences (Nice to have)
• Expertise in scalable realtime systems that process stream data (Nice to have)
Benefits:
• Equity options
• Health insurance
• Flexible work arrangements
• Professional development
Apply tot his job
Apply To this Job