Sr. Applied Scientist, AGI Foundations

Amazon

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profile Job Location:

Boston, NH - USA

profile Yearly Salary: $ 150400 - 260000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. Applied Scientist to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text image and video modalities.

As an Sr. Applied Scientist you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers experiences.



Key job responsibilities
Key job responsibilities
Collaborate with cross-functional teams of engineers product managers and scientists to identify and solve complex problems in Gen AI

Design and execute experiments to evaluate the performance of different algorithms and models and iterate quickly to improve results

Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems

Communicate results and insights to both technical and non-technical audiences including through presentations and written reports

About the team
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases.

- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- PhD in Computer Science Machine Learning or a related field with a focus on Gen AI and reinforcement learning
- Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills with the ability to think creatively and critically about complex problems

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 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 $150400/year in our lowest geographic market up to $260000/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:

Senior IC

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. Applied Scientist to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex re...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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