Machine Learning Engineer II at PRINTEREST INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

267272.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, Docker, Git, MLOps, Cloud Computing, Machine Learning, Data Driven Decision Making, Technical Strategy, Roadmap Planning, Stakeholder Communication

Industry

Software Development

Description

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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 (Notifications News Hub, Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how machine learning 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 is permitted. Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Python; (2) PyTorch; (3) Docker; (4) Git; (5) MLOps; (6) Cloud Computing; (7) Machine Learning; (8) Data Driven Decision Making; (9) Technical strategy and roadmap planning; and (10) Stakeholder communication. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted. Salary: $206,000.00 - $267,272.00 per annum Reference #: L24-153496 This position is not available for relocation assistance. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $206,000—$267,272 USD Our Commitment to Inclusion: 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. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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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.