Applied Science Intern

Job Description

About Amazon Science

Amazon Science is a hub for scientific innovation at Amazon, focused on driving customer-obsessed advancements in technology. The team believes that scientific innovation is crucial to being the most customer-centric company in the world. Amazon’s ability to impact at scale allows it to attract some of the brightest minds in artificial intelligence and related fields. Amazon scientists use a “working backwards” method to improve the way we live and work.

Applied Science Intern – Job Description

This internship offers an opportunity to contribute to groundbreaking research and development at Amazon. We are looking for skilled PhD students with a passion for machine learning, natural language processing, computer vision, automated reasoning, or robotics. As an Applied Science Intern, you will be responsible for designing and developing end-to-end systems, creating technical roadmaps, and driving production-level projects that support Amazon Science. You will collaborate closely with Amazon scientists and other interns to develop innovative solutions and deploy them for real-world impact.

Responsibilities:

• Design and develop end-to-end systems: This includes architecting, implementing, and testing complex systems that address challenging problems.
• Create technical roadmaps: You will be responsible for outlining the technical path forward for projects, identifying key milestones and dependencies.
• Drive production-level projects: This involves bringing your solutions to production environments, ensuring scalability and reliability.
• Work with diverse teams: You will collaborate with scientists, engineers, and other interns across different disciplines to tackle complex business challenges.
• Contribute to the advancement of Amazon Science: Your contributions will directly impact the cutting-edge research and development efforts at Amazon.

Ideal Candidate:

• Self-starter and comfortable with ambiguity: You are able to work independently and navigate challenges with minimal guidance.
• Strong attention to detail: You are meticulous in your work, ensuring accuracy and quality.
• Fast-paced, ever-changing environment: You thrive in dynamic environments and adapt quickly to new information and challenges.
• Ability to work with diverse teams: You enjoy collaborating with others from different backgrounds and perspectives to achieve common goals.

Requirements:

• Currently enrolled in a PhD program in computer science, machine learning, engineering, or related fields.
• Experience with designing experiments and statistical analysis of results.
• Understanding and ability to implement algorithms using both toolkits and self-developed code.
• Proficiency in Java, C++, or other programming languages, as well as with R, MATLAB, Python, or similar scripting languages.

Preferred Qualifications:

• Publication(s) at peer-reviewed conferences or journals.
• Strong technical fluency, comfortable discussing architectural concepts and algorithms.
• Excellent critical thinking skills and effective communication abilities.

Locations:

• Arlington, WA, USA
• Bellevue, WA, USA
• Boston, MA, USA
• New York, NY, USA
• Oceanside, CA, USA
• Palo Alto, CA, USA
• Quincy, MA, USA
• Santa Clarita, CA, USA
• Seattle, WA, USA
• Tucson, AZ, USA

Compensation:

• The base pay for this position ranges from $65.38/hr in the lowest geographic market up to $106.83/hr in the highest geographic market.
• Total compensation includes equity, sign-on payments, and a full range of medical, financial, and other benefits.

To Apply:

Apply through the Amazon careers website.

This is a full-time internship requiring 40 hours per week. Relocation and housing assistance are available if you are located 50 miles or further from the office location.

For more information on the Amazon Science community, please visit https://www.amazon.science.