Master's Machine Learning Internship 2027 (USA)
About The Position
Pinterest is looking for Master's Machine Learning interns to join their team in 2027. This internship offers the opportunity to work on large-scale recommendation systems and personalized experiences for over 640 million users. Interns will gain hands-on experience with production ML systems, contribute to cutting-edge research, and leverage AI tools to accelerate engineering implementation. The internship is 12 weeks long, paid, with fixed start dates in May or June. Depending on the team, internships will be located either remote or hybrid in San Francisco, Palo Alto, New York, or Seattle offices. This role is open to US-based applicants only.
Requirements
- 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.
Responsibilities
- 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.
- 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
Benefits
- 12 weeks paid internship
- Professional development workshops
- Networking events
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What This Job Offers
Career Level
Intern
