2023 Summer Applied Science Internship - Machine Learning

Amazon Science
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Job Description

Are you a Masters or PhD student interested in machine learning? We are looking for skilled scientists capable of putting Machine Learning theory into practice through experimentation and invention, leveraging machine learning techniques (such as random forest, Bayesian networks, ensemble learning, clustering, etc.), and implementing learning systems to work on massive datasets in an effort to tackle never-before-solved problems.

A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.

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

BASIC QUALIFICATIONS

  • Enrolled in a Master’s degree or equivalent in computer science, machine learning, engineering, or related fields.
  • Experience in designing experiments and statistical analysis of results.
  • Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
  • Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.

PREFERRED QUALIFICATIONS

  • Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.
  • Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
  • Publication(s) at peer-reviewed conferences or journals.
  • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Amazon has positions available for Machine Learning intern positions in multiple locations across the United States.

The base pay for this position in Colorado is $119,232. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. Our range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. Applicants should apply via Amazon's internal or external careers site.

The base pay for this position in Jersey City is $137,862. Our range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. This information is provided per the Pay Transparency Regulation of Jersey City Municipal Code. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

The base pay for this position in New York City is $137,862. Our range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Company Info.

Amazon Science

Amazon Science examines the company’s approach to scientific innovation. Amazon believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.

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Amazon Science is currently hiring Applied Science Internship Jobs in United States with average base salary of $119,232 - $149,330 / Year.

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