North America
Canada, United States
Our internships provide ambitious students and graduates the chance to collaborate with leading experts, use advanced technologies, and innovate across Amazon’s diverse business ventures. Join us, and together we can build the future—one idea, service, and product at a time.
We’re searching for doctoral and master’s students who can go beyond just coding. We want team members who can dive deep into research as real scientists. We don’t wait around for the next big thing to happen. Instead, we invent and simplify brand new ways to improve our customers’ lives.
Hear from five scientists across the company and find out what they love about working here.
Learn what gets these four scientists excited to drive customer-obsessed innovation.
Meet Rajeev, Vice President of International Machine Learning.
Recent graduates from around the globe share why they chose Amazon.
As an applied scientist, you’ll be responsible for designing and developing complete systems. You’ll get to create plans for the technical work, and lead production-level projects that support our scientific efforts. You’ll collaborate closely with Amazon’s scientists and other science interns to come up with solutions and put them into action.
We’re looking for talented scientists who can turn ideas into real-world solutions. You’ll use scientific methods and techniques to experiment, invent, and implement new systems. This will involve working with large amounts of data to tackle complex problems that haven’t been solved before.
Working with us, you’ll get to take what you’ve learned and put it to use. This means experimenting, coming up with ideas, and developing computer programs. You’ll also build prototypes and work with huge amounts of data. It’s an exciting chance to take your classroom knowledge and apply it to tackling challenges in the real world.
Canada, United States
Australia, India, Israel, Japan, Singapore, Taiwan
Austria, France, Germany, Ireland, Israel, Italy, Luxembourg, Poland, Spain, United Kingdom
Brazil, Costa Rica, Mexico
The Neural Information Processing Systems (NeurIPS) annual meeting fosters the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their fields.
Empirical Methods in Natural Language Processing is a leading conference in the area of natural language processing and artificial intelligence.
At Amazon, we work with smart, passionate people who are building products and services every day on behalf of our customers.
Our inclusive culture empowers us to deliver the best results for customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work.
Diverse and inclusive teams have a positive impact on our products and services, and help us better serve customers, employees, and members of the community.
We’re making big, bold commitments in sustainability because it’s a win all around. It’s good for business, the planet, our customers, and our communities.
Still curious about opportunities at Amazon? Find relevant opportunities and get connected to recruiters.