Join Pinterest as a Machine Learning Intern to work on real projects and apply AI to enhance product experiences.
Posted by employer 1 day ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
- Own a scoped machine learning project
- Contribute to applied machine learning and AI research
- Collect, analyze and synthesize data
- Write clean, efficient and maintainable code
- Deliver assigned project milestones
Must have
- Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Experience applying machine learning or AI concepts
Nice to have
- Experience with big data technologies
- Proficiency in at least one systems language or one ML framework
- Strong communicator and team player
Practical constraints
- In-office requirement of 2-3 weekdays per week
AI in the day-to-day
AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact.
Requirements
- Education
- Master's degree
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Machine Learning Intern at Pinterest, the individual will engage in hands-on projects that involve applying machine learning techniques to enhance product features and user experiences. Key skills include proficiency in programming languages like Python or Java, experience with big data technologies, and a solid understanding of machine learning concepts such as NLP and ranking. This position is ideal for graduate students pursuing advanced degrees in computer science or related fields, particularly those with a background in research and analytical problem-solving. The internship emphasizes collaboration within a team, providing a practical learning environment in a well-esta
Joblaze insights
- Listed today — first seen on Joblaze October 3, 2026. Last confirmed on Pinterest's careers page October 3, 2026.
Quick facts
- Is the Machine Learning Intern 2027 (Zurich) role remote?
- It's hybrid — Pinterest expects some on-site time in Zurich, Switzerland.
- Where is the role based?
- Pinterest is hiring for this position in Zurich, Switzerland.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Hadoop, Machine Learning, Natural Language Processing, PyTorch, Python, Spark.
- What seniority level is this role?
- Pinterest targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this Machine Learning Intern 2027 (Zurich) role at Pinterest.
From the original posting
About Pinterest:
As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers.
What you’ll do:
- Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team
- Contribute to applied machine learning and AI research that informs Pinterest product experiences
- Collect, analyze and synthesize data to develop data-driven machine learning models
- Write clean, efficient and maintainable code, supported by appropriate documentation and testing
- Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search
- Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
- Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed
- Experience applying machine learning or AI concepts through research, coursework, projects or internships.
- Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.
What we are looking for:
- Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- 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
In-Office Requirement:
- This onsite internship will be based in our Zurich office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday.
- This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Zurich.
Relocation Statement:
- This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
#LI-HYBRID
#LI-AG4
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.