Expoint - all jobs in one place

The point where experts and best companies meet

Limitless High-tech career opportunities - Expoint

Amazon Applied Scientist AWS AI Labs 
United States, Washington, Bellevue 
476827242

20.11.2024
DESCRIPTION

Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised / semi-supervised / active learning, vision language and multi-modal modeling, generative modeling, large-scale image and video detection and recognition, face detection and recognition, 3D scene and layout understanding, and OCR and scene text recognition, document understanding.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Utility Computing (UC)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
Hybrid Work
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience in multi-modal learning over image/video/language; Experience in visual recognition and object detection.
- Experience in model efficiency optimization and distributed parallel machine learning systems- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing


PREFERRED QUALIFICATIONS

- Experience using Unix/Linux
- Experience in professional software development