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About the Role
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.
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.
- 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
Requirements
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- 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.
- US based applicants only
Skills
- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
Location
- San Francisco
- Palo Alto
- New York
- Seattle
- Remote
Work Type
- Hybrid
- Remote
Experience Level
- Intern
Education Level
- Master's degree
Salary/Compensations
- $11,000 monthly
Benefits
- 12 weeks paid internship
- Professional development workshops
- Networking events
About the Company
- 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.
- 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.
- 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.
- 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.
Equal Opportunity
- 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.