# Master's Machine Learning Internship 2027 (USA)

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Job type**: internship
**Salary**: $11,000 monthly
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8138090?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cbea5254-e8b

## Description

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.

Your responsibilities:

- 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

- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions

- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work

- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards

- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation

- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

- Write clean, efficient, and sustainable code

- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers

Requirements:

- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field

- Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)

- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)

- Proficiency with AI-native engineering, including the design of agent-friendly codebases

- High degree of autonomy in learning new agent-first development tools

- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability

- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints

- Experience in research and in solving analytical problems

- Strong communicator and team player

Benefits:

- 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: 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.

## Skills

### Required
- Machine Learning
- Computer Science
- Python
- Java
- C++
- Tensorflow
- Pytorch
- MLFlow

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8138090?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)