Senior Applied Scientist , AGI

Amazon Science; Boston (MA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science is seeking an Applied Scientist to help build the next generation of large language models and conversational AI experiences. You will design, develop, and evaluate state-of-the-art ML models powering products used by hundreds of millions of customers worldwide, working with large-scale data and modern DL frameworks.

This hands-on role combines rigorous research with engineering excellence to ship reliable, responsible AI at Amazon scale, collaborating with scientists and product

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Design, implement, and evaluate machine learning and deep learning models to solve challenging problems in natural language understanding, generation, and conversational AI.
• Develop scalable training and evaluation pipelines for large language models using large, real-world datasets.
• Collaborate with scientists, engineers, and product teams to translate research advances into production systems that improve customer experiences.
• Conduct rigorous experimentation, analyze results, and iterate rapidly to improve model quality, efficiency, and safety.
• Stay current with the latest research, contribute novel ideas, and help raise the scientific bar of the team.
• Champion responsible AI practices, including evaluation for fairness, robustness, and safety.

Skills

Machine learning

Deep learning

Natural language processing

Programming: Java, C++, Python

Education

PhD or Master’s degree

Tools

scikit-learn

Spark MLlib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon's Artificial General Intelligence (AGI) organization is seeking a talented Applied Scientist to help build the next generation of large language models and conversational AI experiences. In this role, you will design, develop, and evaluate state-of-the-art machine learning models that power products used by hundreds of millions of customers worldwide. You will work with large-scale datasets, modern deep learning frameworks, and world-class scientists and engineers to take ideas from research prototype to production. This is a hands‑on scientist role that combines rigorous applied research with the engineering excellence required to ship reliable, responsible AI at Amazon scale.

Key job responsibilities

• Design, implement, and evaluate machine learning and deep learning models to solve challenging problems in natural language understanding, generation, and conversational AI.
• Develop scalable training and evaluation pipelines for large language models using large, real-world datasets.
• Collaborate with scientists, engineers, and product teams to translate research advances into production systems that improve customer experiences.
• Conduct rigorous experimentation, analyze results, and iterate rapidly to improve model quality, efficiency, and safety.
• Stay current with the latest research, contribute novel ideas, and help raise the scientific bar of the team.
• Champion responsible AI practices, including evaluation for fairness, robustness, and safety.

About The Team

The AGI organization at Amazon is dedicated to advancing the science and engineering of large language models and generative AI. Our teams build foundation models and the systems around them, spanning pretraining, post-training, evaluation, and responsible AI. We are a collaborative group of scientists and engineers who value scientific rigor, customer obsession, and rapid iteration, and we work on some of the most impactful AI problems at Amazon scale.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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 base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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