Master's Machine Learning Internship 2027 (USA)

Pinterest

New York (NY)

Hybrid

USD 112,000 - 134,000

Part time

2 days ago
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Benefits offered by this job

Meaningful Work
Mentorship
Growth & Development

Job summary

Pinterest is seeking a Machine Learning Intern to tackle challenges in ML/AI across our teams. You will join engineering groups, work on real-world problems, and contribute to projects at scale.

Internships are 12 weeks, with fixed May or June start dates, and can be remote or hybrid across San Francisco, Palo Alto, New York, or Seattle offices.

Qualifications

  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow).
  • Proficiency with AI-native engineering, including agent-first codebases.
  • High autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions and validating correctness.

Responsibilities

  • Lead your own project from start to finish for cutting-edge ML/AI research
  • Gain hands-on experience with production ML systems, including training, inference, and data engineering
  • Leverage frontier AI tools to accelerate engineering implementation and experimentation
  • Validate AI-generated outputs through testing, code review, and ensuring security and maintainability
  • Use AI to understand unfamiliar code, investigate bugs, and summarize technical context
  • Contribute to cutting-edge research applicable to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership of tasks and projects with mentor guidance

Skills

Python
Java
C++
Machine Learning
NLP
Computer Vision
TensorFlow
PyTorch
MLFlow

Education

Master's degree in CS/ML

Tools

TensorFlow
PyTorch
MLFlow

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.

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.

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.

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.

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