2023 Summer Applied Science Internship - Natural Language Processing and Speech Technologies

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Do you have a strong machine learning background and want to help build new speech and language technology? Amazon is looking for Master's students who are ready to tackle some of the most interesting research problems on the leading edge of natural language processing. We are hiring in all areas of spoken language understanding: NLP, NLU, ASR, text-to-speech (TTS), and more!

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 develop and implement novel scalable algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of ML, NLP, search, and deep learning. You will work side-by-side with global experts in speech and language to solve challenging groundbreaking research problems on production scale data. The ideal candidate must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. Please visit our website to stay updated with the research our teams are working on: https://www.amazon.science/research-areas/conversational-ai-natural-language-processing

BASIC QUALIFICATIONS

• Enrolled in a Master's degree or equivalent in speech or language technologies, computer science, statistics, physics, engineering, or related topics.
• 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 or equivalent in speech or language technologies, computer science, statistics, physics, engineering, or related topics.
• 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 Natural Language Processing & Speech 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 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.

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.

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.