Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Master's Machine Learning Internship 2027 (USA)
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
Live, first seen by us 35 days ago- Pay
$11,000/month — pay source
US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID
Read the full posting- Work setting
- Not stated
- Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Master's Machine Learning Internship 2027 (USA)
What you’ll work on
Full postingLead your own ML research project from start to finish
Work on production ML systems, from algorithms and data to inference and product
Use frontier AI tools to speed up prototyping and experiments
Test and review AI-generated code for correctness, security and maintainability
Write clean, efficient, and sustainable code
From the employer’s posting
Lead your own project start to finish to contribute in cutting-edge research
Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product
Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
Validate AI-generated outputs through testing, code review, and critical thinking
Write clean, efficient, and sustainable code
What you’ll bring
All qualificationsCore experience
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- Experience in research and in solving analytical problems
Qualification wording
Proficiency with AI-native engineering, including the design of agent-friendly codebases.
Experience in research and in solving analytical problems
Education & alternatives
What we are looking for: - Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field - Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 5, 202635 days ago
- Recorded sightings
- 79
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 35
Similar jobs usually come down between day 7 and day 72.
At Pinterest, jobs usually come down by about day 89.
From 4,777 similar postings that came down, and 20 of Pinterest’s. Coming down is not always a hire.
Pinterest is hiring
40 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is steady
- Its jobs tend to stay up a long time
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.
- C++
- Java
- Python
- MLflow
- PyTorch
- TensorFlow
Where the posting names them
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) - Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow) - Proficiency with AI-native engineering, including the design of agent-friendly codebases.
Your next step
Complete your application on www.pinterestcareers.com. 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
About Pinterest
- People
- About 5,265 in 2025, up 13% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as PINS.
- H-1B visas
- 186 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
We offer 2 internship start dates:
- May 17, 2027 - August 6, 2027
- June 14, 2027 - September 3, 2027
As a Machine Learning Intern at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.
What you’ll do:
- Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Write clean, efficient, and sustainable code
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers
What we are looking for:
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems
- Strong communicator and team player. Being able to find solutions for open-ended problems.
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
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. 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
The salary for this position is $11,000 monthly.
#LI-HYBRID
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. 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID
- Location & working pattern
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates:
More source context
The salary for this position is $11,000 monthly. #LI-HYBRID Our Commitment to Inclusion:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.