# Machine Learning Intern 2027 (Zurich)

**Company**: Pinterest
**Location**: Zurich, CH
**Work arrangement**: hybrid
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8214757?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4e7a96f0-4ac

## Description

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.

## Responsibilities

- 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

## Requirements

- Working towards a Master's or PhD 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

## Benefits

- This position may be eligible for relocation assistance

- In-office collaboration 2-3 weekdays per week

## Skills

### Required
- Machine Learning
- AI
- Computer Science
- ML
- NLP
- Statistics
- Information Sciences
- Hadoop
- Spark
- Java
- C++
- Python
- Tensorflow
- Pytorch
- MLFlow

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8214757?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)