AI Research Scientist for Generative Deep Learning
2 days ago
Company Overview
We are Amazon, a company that is pushing the boundaries of innovation and technology. Our Artificial General Intelligence (AGI) team is working on cutting-edge algorithms and models for supervised fine-tuning, with a focus across text, image, and video modalities.
Estimated Salary Range: $200,000 - $300,000 per year
Job Description
As an Applied Scientist, you will play a critical role in supporting 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
- 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.
Required Skills and Qualifications
To be successful in this role, you should have a PhD or Master's degree in Computer Science, Machine Learning, or a related field, with 4+ years of experience in building models for business applications. You should also have experience programming in Java, C++, Python or related languages, and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF.
Benefits
At Amazon, we offer a comprehensive benefits package, including competitive salary, stock options, and a range of health insurance options. We are committed to diversity, equity, and inclusion, and strive to create a workplace where everyone feels welcome and valued.
About Us
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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