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Job sourceUpdated 2 days ago↗
Not available from Dominican Republic

Sr Machine Learning Engineer

USA · Remote246,916-332,012 USD Annual
PythonJava

Resumen de la oportunidad

Sr Machine Learning Engineer en Pinterest. Es una oportunidad remota. Ubicación publicada: USA. La información publicada no la presenta como disponible desde Dominican Republic.

Empresa
Pinterest
Location
USA
Work mode
Remote
Salario publicado
246,916-332,012 USD Annual
Disponibilidad desde Dominican Republic
Not available from Dominican Republic
Updated
September 23, 2026
Consultar la publicación original

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Job description

About the role

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 (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. Telecommuting and/or remote employment permitted.

Minimum Requirements: 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) year of experience in the job offered or in any occupation in related machine learning occupation.

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.

Telecommuting and/or remote employment permitted.

Salary: $246,916.00 - $332,012.00 per annum

Reference #: L23-134111

This position is not available for relocation assistance.

Additional information

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.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.