Sr. Machine Learning Engineer
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Before you apply
Salary$270k – $332k
LocationSeattle, WA, US
Work modehybrid
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentJob Ads - Engineering
Company size5,001–10,000 people
PostedNov 2, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master’s degree (or its foreign degree equivalent) in Computer Science, Business Analytics, Engineering (any field), or closely related quantitative discipline
4 years of experience in the job offered or in any occupation in a related field
4 years of experience in User behavior modeling
4 years of experience in Recommender systems
4 years of experience in ML-based Content Personalization
Experience building large-scale data processing pipelines on Hadoop or Spark
Experience with large-scale machine learning systems
Experience with presenting technical ML content to non-technical leaders
Experience with developing large-scale ranking models
Experience with orchestrating, executing and analyzing large-scale A/B tests
Experience with analyzing and modeling internet-scale graph structures
Experience with developing large-scale ML models on TensorFlow or PyTorch
Skills
Hadoop
Spark
TensorFlow
PyTorch
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.
Responsibilities
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 ML 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. Part-time telecommuting is an option.
Requirements
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Business Analytics, Engineering (any field), or closely related quantitative discipline and four (4) years of experience in the job offered or in any occupation in a related field.
Special Skill Requirements: 4 years of experience in each of the following: (1) User behavior modeling; (2) Recommender systems; (3) ML-based Content Personalization; (4) Experience building large-scale data processing pipelines on Hadoop or Spark; (5) Large-scale machine learning systems; (6) Experience with presenting technical ML content to non-technical leaders; (7) Experience with developing large-scale ranking models; (8) Experience with orchestrating, executing and analyzing large-scale A/B tests; (9) Experience with analyzing and modeling internet-scale graph structures; and (10) Experience with developing large-scale ML models on TensorFlow or PyTorch. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option.
Hybrid work from Pinterest office in Seattle, WA.
Salary: $270,400.00 to $332,012.00 per annum
Reference #: L25-165440
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.
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.