Join Pinterest as a Machine Learning Engineer intern to develop and improve machine learning systems in a collaborative environment.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Conduct applied machine learning research
- Collect, analyze and synthesize data
- Write maintainable, efficient code
- Design, build and test recommendation models
- Develop and iterate on large-scale ML systems
Must have
- Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
- Machine Learning experience
- Experience with big data technologies
- Mastery of at least one systems language or ML framework
- Cross-functional collaborator and strong communicator
Nice to have
- Experience in research
- Experience in solving analytical problems
Practical constraints
- Needs to be within a commutable distance of Zurich
- In-office requirement for 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: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, a Machine Learning Engineer at Pinterest focuses on developing and refining machine learning systems that enhance user experiences and content discovery. Key skills include proficiency in machine learning techniques, big data technologies, and programming languages such as Python or Java. This position is ideal for recent graduates with a master's degree in a relevant field and experience in applied machine learning through projects or internships. The role emphasizes collaboration across teams and requires adaptability in a fast-paced environment.
Joblaze insights
- Listed yesterday — first seen on Joblaze October 15, 2026. Last confirmed on Pinterest's careers page October 15, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
Quick facts
- Is the University Grad Machine Learning Engineer 2027 (Zurich) role remote?
- It's hybrid — Pinterest expects some on-site time in Zurich, Switzerland.
- What's the salary range?
- Pinterest lists $133,600–$153,600 for this role.
- 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: C++, Hadoop, Java, Machine Learning, Natural Language Processing, PyTorch.
- What seniority level is this role?
- Pinterest targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this University Grad Machine Learning Engineer 2027 (Zurich) role at Pinterest.
From the original posting
About Pinterest:
As a Machine Learning Engineer at Pinterest, you’ll develop and improve machine learning systems that power product experiences and discovery. You’ll partner with engineering, product and design teams to build, evaluate and iterate on scalable solutions that help Pinners find relevant, inspiring content. In this role, you’ll grow your technical expertise while contributing to reliable, high-impact systems.
What you’ll do:
- Conduct applied machine learning research to address product and platform challenges at Pinterest.
- Collect, analyze and synthesize data to develop data-driven machine learning models.
- Write maintainable, efficient code and contribute to testing and code-review practices.
- Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads and search.
- Design, build and test recommendation and engagement-prediction models that improve push, email and in-app notification experiences.
- Develop and iterate on large-scale applied machine learning systems, using evaluation results to improve model performance and reliability.
- Scope, implement and deliver solutions for moderately complex ML problems, escalating risks and tradeoffs as 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’re looking for:
- Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
- Machine Learning experience (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
- Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Cross-functional collaborator and strong communicator
- Comfortable solving ambiguous problems and adapting to a dynamic environment
- Experience in research and in solving analytical problems
This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.
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.
The minimum and maximum salary for this position is $133,600-153,600.
#LI-HYBRID
#LI-AG4
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.