Amazon's Artificial General Intelligence (AGI) team is seeking a Senior Applied Scientist to lead the development and implementation of Generative AI (GenAI) algorithms and models for supervised fine-tuning, with the goal of advancing the state of the art with Large Language Models (LLMs) and handling Amazon-scale use cases to improve customer 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
- 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
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
Other
- 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
- Follow all federal, state, and local laws and Company policies
- PhD, or Master's degree and 5+ years of applied research experience
