Note: The job is a remote job and is open to candidates in USA. Pinterest seeks a Senior Machine Learning Engineer to build and improve machine learning technology that personalizes Pinterest. The role partners with product teams to experiment on recommendation models, improve candidate retrieval, and support rapid product launches.

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

Skills

• PhD (or foreign equivalent) in Computer Science, Software Engineering, or closely related quantitative discipline
• Two (2) years of experience in the job offered or at least one year of experience in the job offered or in a software engineer/machine learning engineer-related position
• At least one year of experience using Java for developing scalable, high-performance backend services that power real-time recommendation pipelines
• At least one year of experience experimenting and improving machine learning models
• At least one year of experience with development and optimization of large scale recommendation algorithms
• At least one year of experience applying Natural Language Processing to recommendation systems
• Python
• 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
• Signal processing
• Data mining
• Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

Benefits

• The position is eligible for equity.
• Telecommuting and/or remote employment permitted.

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