Master's Machine Learning Internship 2027 (USA)

About the Role

Pinterest is hiring Machine Learning interns for summer 2027 across multiple ML teams. Interns contribute to personalized experiences and large-scale recommendation systems, working with engineering teams on machine learning research and production systems.

Internship Details

• Paid, 12-week internship with compensation of $11,000 per month.
• Start-date options: May 17–August 6, 2027, or June 14–September 3, 2027.
• Depending on the team, internships are remote or hybrid in San Francisco, Palo Alto, New York, or Seattle.
• The role may require living within commuting distance of a Pinterest office for in-person collaboration.
• US-based applicants only.

Responsibilities

• Lead a project from start to finish, contributing machine learning and AI research applicable to Pinterest problems.
• Gain hands-on experience across production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product development.
• Use frontier AI tools and agents to accelerate implementation, prototyping, and experimentation.
• Validate AI-generated outputs through testing, code review, and critical thinking to ensure accuracy, maintainability, security, and alignment with team standards.
• Use AI to understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
• Write clean, efficient, sustainable code.
• Take ownership of task and project completion and quality with minimal guidance from mentors, managers, and peers.

Qualifications

• Working toward a master's degree in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, or a related field.
• Machine learning knowledge, including areas such as ranking, computer vision, NLP, content recommendations, embeddings, and information retrieval.
• Mastery of at least one systems language: Java, C++, or Python, and one ML framework: TensorFlow, PyTorch, or MLflow.
• Proficiency with AI-native engineering, including designing agent-friendly codebases.
• Autonomy in learning new agent-first development tools.
• Strong critical thinking when evaluating AI-generated suggestions, with an approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches to the problem and its constraints.
• Research experience and experience solving analytical problems.
• Strong communication, teamwork, and ability to solve open-ended problems.

Development Opportunities

• Work on projects that impact millions of users.
• Receive mentorship from experienced engineers and researchers.
• Participate in professional development workshops and networking events.

Application and Interview Guidelines

• One application will be considered for multiple ML internship roles. Apply only once within the USA or Canada; multiple applications may delay recruitment.
• Interviews explore foundational skills and collaboration with AI. Candidates must be able to explain their approach and reasoning.
• Application and hiring-process information must be true, accurate, and complete. False statements, omissions, or misrepresentations may lead to disqualification or termination after hire.
• Applicants needing medical or religious accommodations may request support through the application accommodation form.