Early Career Applied Scientist, Agentic AI
Early Career Applied Scientist, Agentic AI
Posted on :
27-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
27-06-2025
Job Description
AWS is looking for world class scientists and engineers to join Agentic AI science team to develop groundbreaking generative AI technologies like Amazon Q and CodeWhisperer.
Our scientists push boundaries in pre-training and post-training large language models for agentic coding tasks and beyond to invent creative solutions. You will invent implement and deploy state-of-the-art machine learning solutions at Amazon scale having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. You will publish your work at top Machine Learning and Natural Language Processing conferences.
Key job responsibilities
As an Applied Science Intern you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally you will analyze and model terabytes of text images and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent design evangelize and implement state-of-the-art solutions for never-before-solved problems.
A day in the life
Inclusive Team Culture
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Balance
Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
About the team
Our mission is to create groundbreaking code-focused AI agents that will transform the way developers work. From intelligent code completion (CodeWhisperer) to automated code reviews and pull request generation we are pioneering innovative solutions that streamline and enhance the coding process.
As an Applied Scientist on our team youll have the opportunity to push the boundaries of machine learning techniques developing scalable and generalizable solutions for complex real-world coding challenges at AWS scale. Your research will directly impact thousands of enterprise customers empowering developers worldwide with advanced AI-powered tools.
* Early Career PhD or Masters degree and 3 years of applied research experience
* Experience programming in Python Java C or related language
* Experience with neural deep learning methods and machine learning
* Experience with training language models at scale
* Experience with LLM pre-training fine-tuning reinforcement learning and benchmarking
* First-authored publications at top tier machine learning conferences e.g. NeurIPS ICML ICLR ACL EMNLP NAACL.
* Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general e.g. Nemo-Megatron PyTorch Lightning and verl.
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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Our scientists push boundaries in pre-training and post-training large language models for agentic coding tasks and beyond to invent creative solutions. You will invent implement and deploy state-of-the-art machine learning solutions at Amazon scale having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. You will publish your work at top Machine Learning and Natural Language Processing conferences.
Key job responsibilities
As an Applied Science Intern you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally you will analyze and model terabytes of text images and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent design evangelize and implement state-of-the-art solutions for never-before-solved problems.
A day in the life
Inclusive Team Culture
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Balance
Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
About the team
Our mission is to create groundbreaking code-focused AI agents that will transform the way developers work. From intelligent code completion (CodeWhisperer) to automated code reviews and pull request generation we are pioneering innovative solutions that streamline and enhance the coding process.
As an Applied Scientist on our team youll have the opportunity to push the boundaries of machine learning techniques developing scalable and generalizable solutions for complex real-world coding challenges at AWS scale. Your research will directly impact thousands of enterprise customers empowering developers worldwide with advanced AI-powered tools.
* Early Career PhD or Masters degree and 3 years of applied research experience
* Experience programming in Python Java C or related language
* Experience with neural deep learning methods and machine learning
* Experience with training language models at scale
* Experience with LLM pre-training fine-tuning reinforcement learning and benchmarking
* First-authored publications at top tier machine learning conferences e.g. NeurIPS ICML ICLR ACL EMNLP NAACL.
* Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general e.g. Nemo-Megatron PyTorch Lightning and verl.
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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
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