Amazon Software Development Engineer 

Israel, Tel Aviv District, Tel Aviv-Yafo 

449979343

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.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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

- 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.