Applied Scientist , Amazon-Textract

- 3+ years of building models for business application experience
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Are you passionate about pushing the boundaries of computer vision, generative AI, deep learning, and machine learning? Ready to tackle challenges in document understanding at scale? We’re looking for innovative minds to join our world-class team at AWS, where you’ll collaborate with leading researchers, academics, and engineers on Amazon Textract.

Why AWS?

Be part of the leading cloud service provider powering innovation and positive impact.
Work on real-world problems alongside tech and business giants.
Access to unlimited data and computational resources.
Collaborate with world-class researchers and developers.
Deploy solutions at AWS scale and publish your work at top conferences.

Focus Areas:

- LLMs, document understanding, scene text recognition.
- Visual question answering, NLP+vision, layout understanding.

Locations: Tel Aviv and Haifa

Think you’re a fit? Dive into the world of AWS Computer Vision and help us innovate at the forefront of technology.

Key job responsibilities
- Design cutting-edge neural network architectures.
- Create document understanding solutions for complex scenarios and large visual datasets.
- Set benchmarks and success criteria for model performance.
- Collaborate across AWS and Amazon to bring scientific breakthroughs to our customers.
- Add your unique creativity to our multidisciplinary team.
- Mentor junior scientists and interns/PhD students.

We are open to hiring candidates to work out of one of the following locations:

Haifa, ISR | Tel Aviv, ISR

- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks such as PyTorch and Tensor Flow