Master's Fall Machine Learning Internship (ATG… at Pinterest… · San…

Summary: Pinterest is a platform that inspires creativity and innovation, and they are seeking a Machine Learning Intern to join their Advanced Technology Group. The intern will engage in ML product development, focusing on visual understanding modules and recommender systems, while gaining hands-on experience with production ML systems and contributing to cutting-edge research. Responsibilities: - Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI - 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 Required Qualifications: - Ability to legally work full time (40 hours/week) from September-December 2026 - 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 - Experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs Preferred Qualifications: - + Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields - + Strong passion for research and for answering hard questions with research - + Passion for applied ML and the Pinterest product Required Skills: Computer Vision, Visual Search, Generative AI, Large Language Models, Java, C++, Python, TensorFlow, PyTorch, MLFlow, AI-native engineering, Agent-first development tools, Machine learning research Benefits: 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.