We are seeking a highly skilled Senior Machine Learning Engineer to join our team in Palo Alto, CA. The ideal candidate will have a PhD in Computer Science or a related field and 3+ years of experience in machine learning engineering. The role involves building cutting-edge technology using deep learning and machine learning to personalize Pinterest.
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Technical Skills Required
Benefits & Perks
Job Description
Job Description
Sr Machine Learning Engineer
Location: Palo Alto, CA
- On-site, Remote
Job Type: Other
Posted: 20 hours ago
Job Duties: 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. Full-time telecommuting is an option.
Minimum Requirements: PhD (or foreign equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline OR Master's degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and three (3) year of experience in the job offered or in any occupation in related field.
Special Skill Requirements: (1) Python; (2) Java; (3) Solving analytical problems using quantitative approaches; (4) Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU; (5) Algorithms, data structure; (6) Recommender systems; (7) NLP; (8) Signal processing; (9) data mining; and (10) Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option.
Salary: $240,916.00 - $310,291.00 per annum
Reference #: L23-134111
This position is not available for relocation assistance.
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