Amazon Hiring – Applied Science Internship (Frontier AI & Robotics) | PhD Students | United States
Amazon is hiring for the position of Applied Science Intern – Frontier AI & Robotics in the United States. This is a high-impact internship opportunity designed specifically for PhD students who want to work at the cutting edge of artificial intelligence, robotics, and applied machine learning. The role is part of Amazon’s advanced science recruiting program and focuses on solving complex, real-world problems using state-of-the-art AI and robotics technologies.
Amazon is globally known for pushing the boundaries of innovation across cloud computing, e-commerce, robotics, logistics, and artificial intelligence. Through this internship, candidates get the opportunity to work with world-class scientists and engineers on frontier-level research that directly influences Amazon’s future technologies and products.
Job Overview
- Position: Applied Science Intern – Frontier AI & Robotics
- Company: Amazon
- Qualification: Enrolled in a PhD program
- Experience: Research-level interns / PhD students
- Location: United States
- Employment Type: Full-Time Internship
This role is suited for candidates who enjoy deep research, experimentation, and building intelligent systems that operate in real-world environments.
About the Role
As an Applied Science Intern at Amazon, you will work on advanced research problems in areas such as artificial intelligence, robotics, machine learning, computer vision, and reinforcement learning. The role goes beyond academic exploration and focuses on translating scientific ideas into scalable, production-ready systems.
Interns are treated as core contributors and are expected to actively participate in research design, experimentation, implementation, and evaluation. You will collaborate closely with applied scientists, research engineers, and product teams to develop algorithms and models that power Amazon’s next generation of intelligent systems.
This internship bridges the gap between academic research and industry impact, allowing you to see how theoretical models are transformed into real applications.
Key Responsibilities
In this role, you may be responsible for:
- Designing and developing machine learning or robotics algorithms
- Conducting experiments and evaluating model performance
- Working with large datasets and simulation environments
- Collaborating with engineers to integrate research into systems
- Analyzing results and refining research approaches
- Documenting findings and technical insights
- Participating in research discussions and technical reviews
Your contributions may influence long-term research directions and future product innovations.
Skills Required
To succeed in this role, candidates should have:
- Strong background in machine learning, AI, or robotics
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Proficiency in Python, C++, or similar programming languages
- Solid understanding of algorithms, data structures, and mathematics
- Research experience demonstrated through publications or projects
- Strong analytical and problem-solving skills
Experience in areas such as reinforcement learning, computer vision, autonomous systems, or large-scale AI models is highly valued.
Who Can Apply
This internship is suitable for:
- PhD students currently enrolled in relevant research programs
- Candidates with strong academic and research backgrounds
- Individuals interested in applied research with real-world impact
- Researchers aiming to transition from academia to industry research
Applicants should be passionate about solving complex problems and pushing technological boundaries.
Why This Internship Is Highly Valuable
The Applied Science Internship at Amazon offers unmatched exposure to frontier-level research. Interns gain access to large-scale computing resources, real production systems, and mentorship from leading experts in AI and robotics.
This experience strengthens your research profile, expands your professional network, and opens doors to future roles in applied science, machine learning engineering, and research leadership. For many candidates, this internship becomes a stepping stone to full-time research positions at Amazon or other top technology companies.
Work Culture and Research Environment
Amazon fosters a research-driven, innovation-focused culture where experimentation and learning are encouraged. Interns work in collaborative teams that value curiosity, data-driven thinking, and technical excellence. You will be challenged intellectually while being supported through mentorship and structured feedback.
The environment is fast-paced and impact-oriented, allowing researchers to see the real-world value of their work.
Career Growth Opportunities
After completing the internship, candidates may progress into roles such as:
- Applied Scientist
- Research Scientist
- Machine Learning Engineer
- Robotics Engineer
- Advanced Research Roles within Amazon
Strong performance during the internship can lead to extended research collaborations or full-time opportunities.
How to Apply
Interested candidates can apply through the official Amazon careers portal using the link below. Applicants should ensure their resume highlights research experience, publications, projects, and technical expertise relevant to AI and robotics.
Final Job Insight
The Applied Science Internship in Frontier AI & Robotics at Amazon is a prestigious opportunity for PhD students who want to work on advanced AI and robotics research with real-world impact. It offers deep technical learning, exposure to large-scale systems, and a strong pathway into high-impact research careers in industry.
