Role Description & Responsibilities
Machine Learning
About Pinterest
Pinterest is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Machine Learning role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
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.
As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.
Key Responsibilities & Day-to-Day Scope
- ✓ May 17, 2027 - August 6, 2027
- ✓ June 14, 2027 - September 3, 2027
- ✓ 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
- ✓ Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- ✓ Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- ✓ Proficiency with AI-native engineering, including the design of agent-friendly codebases.
Official Qualifications & Technical Requirements
- • 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.
- • Preferred Qualifications: Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
- • 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.
- • 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.
Preferred Skills & Technology Stack
- + Familiarity with MLOps pipelines (Docker, Kubernetes, Kubeflow, Triton Inference Server).
- + Knowledge of distributed training techniques and GPU acceleration (CUDA).
- + Relevant coursework, research publication, or open-source contribution in ML/DL.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Pinterest
Verified EmployerPinterest champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.