USD 255000-332012/yr

Sr. Machine Learning Engineer

United StatesUnited States·Seattlesenior
Machine Learning EngineerData
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Quick Summary

Requirements Summary

Doctorate degree (or a foreign equivalent) in Statistics and Operations Research, or a related field and 1 (one) year of experience in the job offered or in a related position.

Technical Tools
Machine Learning EngineerData

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 the app. Partner closely with teams  to experiment and improve machine learning models for various product surfaces (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. Keeping up with industry trends in recommendation systems. Part-time telecommuting is an option. Hybrid work from Pinterest office in Seattle, WA.

Minimum Requirements: Doctorate degree (or a foreign equivalent) in Statistics and Operations Research, or a related field and 1 (one) year of experience in the job offered or in a related position.

Special Skill Requirements: Must have at least one (1) year of experience in each of the following: 1. Machine learning; 2. Deep learning 3. Natural language Processing; 4. Recommender Systems; 5. Statistical modeling and experimental design; 6. Distributed computing (e.g., Spark, Hadoop); 7. AWS; 8. Python, SQL; 9. PyTorch/TensorFlow.  Part-time telecommuting is an option. Hybrid work from Pinterest office in Seattle, WA.

Salary: $ 255,000.00 - $ 332,012.00 per annum

Reference #: L25-167458

This position is not available for relocation assistance.

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.

Location & Eligibility

Where is the job
Seattle, United States
On-site at the office
Who can apply
US

Listing Details

Posted
October 5, 2026
First seen
October 5, 2026
Last seen
October 5, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
October 5, 2026

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Sr. Machine Learning EngineerUSD 255000-332012