The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback;
with a focus across text, image, and video modalities.
Have you got what it takes to succeed The following information should be read carefully by all candidates.
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 job 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
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of applied research experience
- 5+ 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.
PREFERRED QUALIFICATIONS
- 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
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