Senior Applied Scientist, Artificial General Intelligence

Amazon • Bellevue, WA

111d • $150,400 - $260,000

About The Position

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of state of the art algorithms and models for pretraining and supervised fine-tuning, with a focus across image and video modalities. As a Senior Applied Scientist, you will play a critical role in driving the development of Generative Artificial Intelligence (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 with neural deep learning methods and machine learning
• Experience programming in Java, C++, Python or related language

Nice To Haves

• PhD in Computer Science, Machine Learning, or a related field; with a focus on GenAI in Computer Vision
• 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
• 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 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

Benefits

• Equity and sign-on payments may be provided as part of a total compensation package
• Full range of medical, financial, and/or other benefits

What This Job Offers

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