Work side-by-side with Research Team to develop and enhance trading models.

Work with our researchers and traders on real-life research projects that directly impact the way we trade.

Work on complex technical projects and contribute to meaningful projects solving trading problems.

Analyzing data to refine our approach and grow customer base.

Predict delivery times, develop data visualization tools, and optimize logistics flows.

Collaborate with Operations, Science, and Finance teams to drive data-driven strategies.

Assist in building and maintaining Workday/People Tech platforms.

Assist in content creation, social media management and campaign coordination.

Work alongside mathematicians, scientists and technologists to develop trading models.

As a Software Engineer Intern, you’ll work on building the platform that powers data science at large companies.

Working on a combination of deeply technical ML applications in production and cutting-edge research problems

Support the sales team to replicate success, develop business and increase profitability for Agicap in Italy.

Plan and produce engaging content to drive user acquisition through various channels.

Contribute to projects that impact millions of users worldwide.

# Master's Machine Learning Internship 2026 (USA) - Pinterest **About Pinterest:** 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](https://www.pinterestcareers.com/our-life/pinflex/) to do your best work. Creating a career you love? It’s Possible. With more than 550 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. With just over 3,000 global employees, our teams are small, mighty, and still growing. 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. **Note to applicants:** **By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.** **Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.** **We offer 2 internship start dates:** - May 18, 2026 - August 7, 2026 - June 15, 2026 - September 4, 2026 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. **What you’ll do:** - 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 - Collect, analyze, and synthesize findings from data and build intelligent data-driven models - Write clean, efficient, and sustainable code - Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search - Scope and independently solve moderately complex problems - Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed **What we are looking for:** - Working towards a *Master's degree* in Computer Science, ML, NLP, Statistics, Information Sciences or related field - Experience with *Machine Learning* (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) - Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data - Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) - Experience in research and in solving analytical problems - Strong communicator and team player with the ability to find solutions for open-ended problems **Why Intern at Pinterest?** - 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. **In-Office Requirement Statement:** - 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. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found [here](https://www.pinterestcareers.com/pinterest-life/). **US based applicants only** The salary for this position is $11,000 monthly. #LI-HYBRID **Our Commitment to Inclusion:** 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](https://forms.gle/sS24D4WboEKUZMQK6) for support.

Work on building the future of Pinterest, collaborating with mentors and product, design, data, and back-end engineers.

Join our engineering teams and learn how large-scale systems operate.

Conduct research and contribute to cutting-edge projects in machine learning and AI.

Collaborate with analytics engineering to design and implement robust data pipelines.

Assisting with creator relationships, IRL marketing activations and app onboarding.