2027 Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting

Amazon

Sunnyvale (CA)

On-site

USD 69,000 - 83,000

Full time

21 hours ago
Be an early applicant
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Amazon is seeking an Applied Science Intern to join its AI research teams across multiple U.S. locations, including Sunnyvale, CA.

You will work with world‑renowned experts on NLP, deep learning, and generative AI, applying cutting‑edge models to real‑world problems. You'll fine‑tune state‑of‑the‑art models, develop novel algorithms for NLP tasks like NER and QA, and collaborate with cross‑functional teams to translate research into impactful solutions.

Qualifications

  • PhD student enrolled and able to relocate.
  • Experience in Java, Python, PyTorch or JAX.
  • Available for full‑time 40 hours per week for the entire internship.
  • Demonstrated research depth via publications or thesis.

Responsibilities

  • Collaborate with world‑class researchers on NLP, GenAI, and DL.
  • Fine‑tune models and develop algorithms for NER and QA.
  • Work with cross‑functional teams and communicate findings clearly.
  • Utilize AI tools to accelerate research and validate outputs.

Skills

Java
Python
PyTorch
JAX

Education

PhD program

Job description

Description

Revolutionize the Future of AI at the Frontier of Applied Science

Are you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.

As an Applied Science Intern, you'll have the unique opportunity to work alongside world‑renowned experts, gaining invaluable hands‑on experience with cutting‑edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine‑tune state‑of‑the‑art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.

This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross‑functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real‑world problems and deliver impactful solutions.

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 LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.

Key job responsibilities

We are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine‑Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.

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 LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production‑scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.

The ideal candidate should possess the ability to work collaboratively with diverse groups and cross‑functional teams to solve complex business problems and to communicate research findings clearly. 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.

Leverage AI‑powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.

A day in the life
  • Collaborate with cross‑functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.
  • Fine‑tune state‑of‑the‑art models and develop novel algorithms to push the boundaries of what's possible.
  • Explore the vast potential of generative AI and its applications across industries.
  • Attend cutting‑edge research seminars and engage in thought‑provoking discussions with industry luminaries.
  • Leverage state‑of‑the‑art computing infrastructure and access to the latest research papers to fuel your innovation.
  • Present your groundbreaking work and insights to the team, fostering a culture of knowledge‑sharing and continuous learning.
Basic Qualifications
  • Are enrolled in a PhD
  • Can relocate to where the internship is based
  • Experience programming in Java, Python ,PyTorch or JAX
  • Must be available for full‑time (40 hours per week) internship for the whole duration of the internship
  • Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
Preferred Qualifications
  • Have publications at top‑tier peer‑reviewed conferences or journals
  • Experience in building models for business application

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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. 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.

Boston, MA, USA - 135,660.00 USD Annually

New York City, NY, USA - 156,910.00 USD Annually

Pittsburgh, PA, USA - 135,660.00 USD Annually

Santa Clara, CA, USA - 156,060.00 USD Annually

Seattle, WA, USA - 135,660.00 USD Annually

Sunnyvale, CA, USA - 156,060.00 USD Annually

Company - Amazon.com Services LLC

Job ID: A10564589

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

2027 Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting
2027 Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting

Amazon • Santa Clara (CA)

On-site
USD 156,000 - 157,000
2027 Applied Science Internship Gen AI Large Language Models United States PhD Student Science Recruiting
2027 Applied Science Internship Gen AI Large Language Models United States PhD Student Science Recruiting

Amazon • Cambridge (MA)

On-site
USD 136,000 - 157,000
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & [...]
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & [...]

Amazon • San Francisco (CA)

On-site
USD 171,600 - 222,200
401(k) matching
Mental Health Support
Medical Advice Line
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics

Amazon • Seattle (WA)

On-site
USD 143,000 - 193,000
2026 Applied Science Internship United States PhD Student Science Recruiting Frontier AI Robotics
2026 Applied Science Internship United States PhD Student Science Recruiting Frontier AI Robotics

Amazon • Seattle (WA)

On-site
USD 172,000 - 222,000
2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting
2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting

Amazon Inc. • Seattle (WA)

On-site
USD 135,000 - 136,000
Mentorship from industry experts
Access to state-of-the-art computing
2027 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics
2027 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics

Amazon Inc. • San Francisco (CA)

On-site
USD 60,000 - 80,000
2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting
2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting

Amazon Inc. • Seattle (WA)

On-site
USD 122,000 - 149,000
2027 Applied Science Internship - United States, PhD Student Science Recruiting Frontier AI & Robotics, Frontier AI & Robotics
2027 Applied Science Internship - United States, PhD Student Science Recruiting Frontier AI & Robotics, Frontier AI & Robotics

Amazon Inc. • San Francisco (CA)

On-site
USD 140,000 - 172,000
2027 Applied Science Internship - Natural Language Processing and Speech Technologies - United States, PhD Student Science Recruiting
2027 Applied Science Internship - Natural Language Processing and Speech Technologies - United States, PhD Student Science Recruiting

Amazon Inc. • Seattle (WA)

On-site
USD 115,000 - 156,000