University Grad Machine Learning Engineer 2027 (Zurich)

Pinterest; Zürich; On-site; CHF 111,000 - 128,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Pinterest is seeking a Machine Learning Engineer intern to develop and improve ML systems powering product experiences and discovery. You’ll collaborate with engineering, product and design to build scalable solutions that help Pinners find relevant content.

The role emphasizes applying NLP, graph-based methods and data-driven evaluation, with a chance to grow technical expertise in a high-impact, in-office Zurich setting.

Qualifications

• Master's degree in CS/ML/NLP or related field.
• Experience with ML research and data analysis.
• Experience with big data technologies and scalable systems.
• Strong communication and collaboration skills.

Responsibilities

• Conduct applied ML research to address product challenges at Pinterest.
• Collect, analyze and synthesize data to develop ML models.
• Write maintainable, efficient code and contribute to tests.
• Apply ML techniques including NLP and graph-based approaches.
• Design and test recommendation and engagement models.
• Develop and iterate on large-scale ML systems.

Skills

ML research

Data analysis

Coding

NLP

Ranking models

Cross-functional communication

Education

Master's in CS/ML/NLP

Tools

TensorFlow

PyTorch

MLFlow

Hadoop/Spark

Python

Java

C++

Job description

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.

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 to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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.

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 for support.