PhD Machine Learning Internship 2027 (USA)

Pinterest
San Francisco +3 more
HybridCareer-pivot friendly

Who this role is best for

A natural match if you have experience in AI-native engineering and a strong research background. This internship offers hands-on work with large-scale ML systems and emphasizes collaboration across multiple teams in select US cities.

Best fit for

  • PhD candidates with strong research experience in AI and ML frameworks
    — “Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field”
  • Individuals who can independently manage projects and validate AI outputs
    — “Take proactive ownership over the completion and quality of your tasks and project with minimal guidance”
  • Candidates comfortable with adapting AI tools to solve complex engineering problems
    — “Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints”

Things to consider

  • Internship requires a fixed 12-week commitment starting in May or June 2027
    — “Internships are 12 weeks paid, with fixed start dates in May or June”
  • Location flexibility is limited to US cities with possible in-office requirements
    — “This role may require you to be located near an office for in-person collaboration”

How to stand out

  • Highlight your ability to independently manage research projects and deliver results
    — “Lead your own project start to finish to contribute in cutting-edge research”
  • Emphasize experience with AI-native codebases and agent-friendly design
    — “Proficiency with AI-native engineering, including the design of agent-friendly codebases”
  • Demonstrate your skills in validating AI outputs through code and testing
    — “Validate AI-generated outputs through testing, code review, and critical thinking”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • contribute to cutting-edge research in machine learning and AI
  • gain hands-on experience with production ML systems
Typical background
Master's or PhD in a relevant field

Skills & requirements

Required

Machine LearningAI ResearchData AnalysisModeling

Preferred

Neural NetworksGraph Representation Learning

Stack & domain

Machine LearningArtificial IntelligenceImage RecognitionUser ModelingRecommender SystemsSearchAdsRankingNatural Language ProcessingNeural NetworksPersonalizationGraph Representation LearningBig Data AnalyticsCollaborationProblem-solvingCommunicationTeamworkLeadershipData ScienceEngineering

About the role

Original posting from Pinterest

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: Pinterest careers

Similar roles

More roles at Pinterest