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AI Researcher
2 months ago
We are seeking a highly skilled and experienced Senior Applied Scientist to join our Devices and Services Security team at Amazon Services LLC. As a key member of our team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art with Generative AI systems.
Key Responsibilities- Design and develop novel algorithms and modeling techniques to advance the state of the art with Generative AI systems.
- Lead the development of large-scale machine learning systems, including profiling and debugging, and understanding of system performance and scalability.
- Collaborate with cross-functional teams to integrate machine learning solutions into our products and services.
- Stay up-to-date with the latest advancements in machine learning and AI research, and apply this knowledge to drive innovation in our products and services.
- PhD or Master's degree in a relevant field, such as Computer Science, Electrical Engineering, or Mathematics, and 6+ years of applied research experience.
- 3+ years of experience building machine learning models for business application.
- Experience programming in Java, C++, Python, or related languages.
- Experience with neural deep learning methods and machine learning.
- Experience with large-scale machine learning systems, including profiling and debugging, and understanding of system performance and scalability.
- Experience using managed ML/AI solutions.
- Experience with learning LLMs and Gen AI in Computer Vision, both in the image and video domains.
- A dynamic and collaborative work environment with opportunities to work on cutting-edge projects.
- A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
- Opportunities for professional growth and development, including training and career advancement programs.
- A commitment to diversity, equity, and inclusion, with a focus on creating a workplace that is welcoming and inclusive for all employees.
