Senior Applied Scientist, Artificial General Intelligence
hace 4 semanas
Job ID: 2793518 | Amazon.com Services LLC
We are seeking a highly skilled and experienced Senior Applied Scientist to lead the development and implementation of cutting-edge algorithms and models to automate workflows and processes for browser automation, developers, and operations teams.
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.
Key Responsibilities:- Develop cutting-edge multimodal Large Language Models (LLMs) to observe, model, and derive insights from manual workflows for automation.
- Work in a joint scrum with engineers for rapid invention, develop cutting-edge automation agent systems, and take them to launch for millions of customers.
- 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.
- PhD, or Master's degree and 5+ years of applied research experience.
- 2+ years of building machine learning models for business application experience.
- Experience programming in Java, C++, Python, or related language.
- Experience with neural deep learning methods and machine learning.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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