PhD 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 30 days ago

Pay: $12,100/month — pay source
US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1
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

What you’ll work on

Full posting

Lead your own ML research project from start to finish
Work on full-stack production ML systems, from training to inference
Use AI tools and agents to speed up prototyping and experiments
Check AI-generated code through testing and code review
Write clean, efficient, and sustainable code

From the employer’s posting

Lead your own project start to finish

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

Education & alternatives

What we’re looking for: - Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field - Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)

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

Apply at Pinterest

Posting record

Report an error

Status in our records: Live
First seen by us: Oct 5, 202630 days ago
Recorded sightings: 74
Last seen by us: Nov 4, 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

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 30

Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. 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

Hiring record

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

- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field - Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) - Proficiency with AI-native engineering, including the design of agent-friendly codebases.

Upload resume Add LinkedIn

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 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

View original posting ↗

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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

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

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’re looking for:

Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
Proficiency in at least one systems language (Java, C++, Python) or 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.
Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product

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 $12,100 monthly.

#LI-HYBRID
#LI-EB1

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