Applied Scientist , Gen AI
Tel Aviv-Yafo, Tel Aviv, ISR
Amazon.com
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Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon’s AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models.
As part of the AWS Multimodal generative AI science team, you’ll lead innovative research projects, develop state-of-the-art algorithms, and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazon’s vast computing power, you’ll work alongside a supportive and diverse group of top-tier scientists and engineers, contributing to products that redefine the industry.
Key job responsibilities
* Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability.
* Design, implement, and evaluate deep learning models in a production environment.
* Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
* Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
* Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.
- Ph.D. or Master’s in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
- Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.
- Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java).
- First author in research publications in peer-reviewed conferences or journals
- Deep understanding of statistical modeling, optimization, and algorithm development.
- Excellent communication skills, with the ability to convey complex technical information to diverse audiences.
As part of the AWS Multimodal generative AI science team, you’ll lead innovative research projects, develop state-of-the-art algorithms, and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazon’s vast computing power, you’ll work alongside a supportive and diverse group of top-tier scientists and engineers, contributing to products that redefine the industry.
Key job responsibilities
* Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability.
* Design, implement, and evaluate deep learning models in a production environment.
* Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
* Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
* Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.
Basic Qualifications
- Ph.D. or Master’s in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
- Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.
- Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java).
- First author in research publications in peer-reviewed conferences or journals
Preferred Qualifications
- Experience designing and leading complex research projects from ideation to implementation.- Deep understanding of statistical modeling, optimization, and algorithm development.
- Excellent communication skills, with the ability to convey complex technical information to diverse audiences.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Data Science Jobs
Deep Learning Jobs
Tags: AWS Computer Science Computer Vision Deep Learning Engineering Generative AI Java LLMs Machine Learning Mathematics NLP Python PyTorch Research Statistical modeling Statistics TensorFlow
Perks/benefits: Conferences
Region:
Middle East
Country:
Israel
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