2026 Fall Applied Science Internship - Natural Language Processing and Speech Technologies - Un[...]

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Mental Health Support

401(k) matching

EAP

Medical Advice Line

Job summary

A leading technology company is seeking graduate students for Natural Language Processing & Speech Applied Science Internships in Seattle, WA. Candidates will work on innovative NLP projects, contributing to research in AI and machine learning. The position demands expertise in various languages like Java or Python, and strong knowledge in NLP technologies. A full-time commitment is expected, with a competitive salary range of $142,800 to $193,200 annually. Join us to shape the future of human-machine interaction.

Qualifications

• Enrolled in a PhD program.
• Experience programming in Java, C++, Python, or related languages.
• Familiarity with Natural Language Processing/Understanding and related fields.

Responsibilities

• Develop scalable algorithms and techniques in NLP and speech technologies.
• Collaborate with teams to solve complex research problems.
• Tackle groundbreaking research challenges on production-scale data.

Skills

Natural Language Processing

Reinforcement Learning

Deep Learning

Speech Recognition

Conversational AI

Large Language Models

Statistical Analysis

Education

PhD enrollment

Tools

Java

C++

Python

Job description

Description

Shape the Future of Human‑Machine Interaction

Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting‑edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies.

Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production‑scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.

Throughout your journey, you'll have access to unparalleled resources, including state‑of‑the‑art computing infrastructure, cutting‑edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast‑paced, innovative environment where bold ideas are celebrated.

Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.

Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.

Key job responsibilities

We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.

• In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state‑of‑the‑art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production‑scale data, with a focus on natural language processing, speech recognition, text‑to‑speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer‑based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.
• The ideal candidate should possess the ability to work collaboratively with diverse groups and cross‑functional teams to solve complex business problems. A successful candidate will be a self‑starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast‑paced, ever‑changing environment.

A day in the life

• Develop novel, scalable algorithms and modeling techniques that advance the state‑of‑the‑art in natural language processing, speech recognition, text‑to‑speech, question answering, and conversational modeling.
• Tackle groundbreaking research problems on production‑scale data, leveraging techniques such as LSTM, transformer‑based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.
• Collaborate with cross‑functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.
• Thrive in a fast‑paced, ever‑changing environment, embracing ambiguity and demonstrating strong attention to detail.

Basic Qualifications

• Are enrolled in a PhD
• Can relocate to where the internship is based
• Experience programming in Java, C++, Python or related language
• Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning
• Must be available for full‑time (40 hours per week) internship for the whole duration of the internship

Preferred Qualifications

• Have publications at top‑tier peer‑reviewed conferences or journals
• Experience in designing experiments and statistical analysis of results
• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually