Senior Applied Scientist, Artificial General Intelligence

Amazon • Cambridge, MA

150d

About The Position

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist; to lead the development and implementation of Generative AI (GenAI) algorithms and models for supervised fine-tuning, and advance the state of the art with Large Language Models (LLMs),

As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.

Requirements

• PhD, or Master's degree and 5+ years of applied research experience
• 4+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

Nice To Haves

• PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
• Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
• Strong 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
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience with patents or publications at top-tier peer-reviewed conferences or journals

Responsibilities

• Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI
• 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 GenAI 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
• Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

Benefits

• 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 https://www.aboutamazon.com/workplace/employee-benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree