Apply machine learning, natural language processing, or computer vision as an Applied Science Intern with Amazon Science. Work full time in a team-based setting.

This internship suits PhD students developing scientific systems through experimentation and invention. You will implement solutions for massive datasets, tackle unsolved problems, and collaborate with Amazon scientists and science interns. The work includes end-to-end system development and production deployment.

Key Responsibilities:

- Design and develop end-to-end scientific systems
- Experiment with machine learning and related techniques
- Implement systems for massive datasets
- Create technical roadmaps for production projects
- Collaborate with scientists and cross-functional teams

Requirements:

- Enrollment in a relevant Canadian PhD program
- Programming experience with Python, Java, C, or C++
- Availability for 40 hours weekly
- Commitment to a maximum 12-week internship
- Ability to relocate where the internship is based

Build production-level systems through experimentation, programming, and scientific innovation with Amazon Science as an Applied Science Intern.

📌 Machine Learning Applied Science Intern (Pitt Meadows)
🏢 Amazon
📍 Pitt Meadows