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Master's Machine Learning Internship 2027 (USA)

Pinterest

NEW YORK, NYFull-timeSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Pinterest’s Machine Learning internship places interns on engineering teams to work on machine learning and artificial intelligence challenges, including personalized experiences and large-scale recommendation systems. Interns lead a project from start to finish and gain exposure to production ML systems. The paid internship lasts 12 weeks, with start dates in May or June 2027, and may be remote or hybrid in several listed offices.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningRankingComputer VisionNatural Language ProcessingContent RecommendationsEmbeddingsInformation RetrievalArtificial IntelligenceProduction ML SystemsData EngineeringAI ToolsAI AgentsPrototypingExperimentationTestingCode ReviewCritical ThinkingCode UnderstandingBug InvestigationTechnical DocumentationCodingOwnership

Qualifications

Master's in Computer Science, ML, NLP, Statistics, Information Sciences or Related Field

Full 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 theflexibility 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, 2027As 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 peersWhat 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 on

How this job compares

Set against the 7,378 open Software Engineering jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • New York median$167–250K/yr411 salary ranges
  • New York median$26–45/hr25 hourly ranges
Openings
Olive Jobs lists 600 open Software Engineering jobs in New York and 7,378 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Software Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (5,837 postings).
Education
2,135 of the 7,378 open Software Engineering jobs (29%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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