Time since we first saw it
Day 40
Similar jobs usually come down between day 8 and day 76.
At Pinterest, jobs usually come down by about day 89.
From 5,517 similar postings that came down, and 23 of Pinterest’s. Coming down is not always a hire.
Machine Learning Intern 2027 (Toronto)
Toronto, ON, CA
Live, first seen by us 40 days ago- Pay
CAD 8,000–8,600/month — pay source
Canada based applicants only The minimum and maximum salary for this position is CA$8000 - CA$8600 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: Machine Learning Intern 2027 (Toronto)
What you’ll work on
Full postingOwn a scoped machine learning project from problem definition to results
Collect and analyze data to build data-driven machine learning models
Apply NLP or graph-based methods to ranking problems in discovery, ads and search
Write clean, tested, documented code for ML features
Break down technical problems, propose approaches and implement solutions
From the employer’s posting
Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results
Collect, analyze and synthesize data to develop data-driven machine learning models
Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search
Write clean, efficient and maintainable code, supported by appropriate documentation and testing
Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
What you’ll bring
All qualificationsCore experience
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
Qualification wording
Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
Experience in research and in solving analytical problems
Education & alternatives
What we are looking for: - Working towards a Master's or PhD 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, 202640 days ago
- Recorded sightings
- 84
- Last seen by us
- Nov 14, 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
Pinterest is hiring
40 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring has slowed
- 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
- Hadoop
- MLflow
- Spark
- PyTorch
- TensorFlow
Where the posting names them
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data - Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) - Experience in research and in solving analytical problems
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) - Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data - Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
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 10% 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.
As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers.
What you’ll do:
- Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team
- Contribute to applied machine learning and AI research that informs Pinterest product experiences
- Collect, analyze and synthesize data to develop data-driven machine learning models
- Write clean, efficient and maintainable code, supported by appropriate documentation and testing
- Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search
- Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
- Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed
- Experience applying machine learning or AI concepts through research, coursework, projects or internships.
- Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.
What we are looking for:
- Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems
This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.
In-Office Requirement Statement:
- This onsite internship will be based in our Toronto office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday.
- This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Toronto.
Relocation Statement:
- This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
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.
Canada based applicants only
The minimum and maximum salary for this position is CA$8000 - CA$8600 monthly.
#LI-HYBRID
#LI-AG4
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.
Canada based applicants only
$8,000—$8,600 CAD
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
Canada based applicants only The minimum and maximum salary for this position is CA$8000 - CA$8600 monthly. #LI-HYBRID
- Location & working pattern
Toronto, ON, CA
The minimum and maximum salary for this position is CA$8000 - CA$8600 monthly. #LI-HYBRID #LI-AG4
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.