Pay
Higher than most similar jobs
$270K–$332K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Machine Learning Engineer
Seattle, WA, US
Live, first seen by us 1 day ago- Pay
$270,400–332,012/year — pay source
Hybrid work from Pinterest office in Seattle, WA. Salary: $270,400.00 to $332,012.00 per annum Reference #: L25-165440
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild deep learning and ML models to personalize Pinterest
Experiment with and improve ML models across product surfaces
Use data-driven methods to improve candidate retrieval
Ship quick experiments and product launches in a high-impact environment
Keep up with industry trends in recommendation systems
From the employer’s posting
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
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.
Education & alternatives
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. 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.
About Pinterest Job Advertisements
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Oct 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
Pinterest Job Advertisements is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- 33% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Hadoop
- Spark
- PyTorch
- TensorFlow
Where the posting names them
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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Pinterest Job Advertisements posted this job before?
Yes. We’ve followed 5 other Senior Machine Learning Engineer jobs there since October 2026. 3 came down, usually after about 14 days. 2 are still up.
If this one keeps the same pace, it may come down around November 17.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job 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 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.
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.
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- Pay
Hybrid work from Pinterest office in Seattle, WA. Salary: $270,400.00 to $332,012.00 per annum Reference #: L25-165440
- Location & working pattern
Seattle, WA, US
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.