The Artificial General Intelligence (AGI) team at Amazon is looking to solve complex GenAI problems in Computer Vision by developing and implementing state of the art algorithms and models for pretraining and supervised fine-tuning, with a focus across image and video modalities.
Requirements
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
- Experience with learning multimodal LLMs and GenAI in Computer Vision, both in the image and video domains
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Experience with neural deep learning methods and machine learning
- Experience building machine learning models for business application experience
Responsibilities
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision
- 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
- PhD, or Master's degree and 5+ years of applied research experience
- 4+ years of building machine learning models for business application experience
- 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
