[Hiring] Senior Machine Learning Engineer @Pinterest Job Advertisements

Role 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 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.
• Keep up with industry trends in recommendation systems.
• Telecommuting and/or remote employment permitted.

Qualifications

• 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) years of experience in the job offered or in any occupation in related machine learning occupation.

Requirements

• 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

Benefits

• Salary: $246,916.00 – $332,012.00 per annum
• This position is not available for relocation assistance.

Company Description

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

• We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
• If you require a medical or religious accommodation during the job application process, please complete this form for support.