Job Description
Overview
AWS Utility Computing (UC) offers innovative cloud services, including foundational products like Amazon S3 and Amazon EC2, along with new features to enhance their cloud platform. The UC team manages Compute, Database, Storage, IoT, Platform, and Productivity Applications, supporting customers with specialized security solutions.
Role Specifics
Join Amazon’s AWS Multimodal Generative AI Science Team as an Applied Scientist focusing on AI and Deep Learning. Your role involves leading cutting-edge research in Computer Vision, Generative AI, and foundational models.
Responsibilities
- Lead research initiatives in Multimodal Generative AI to improve model efficiency, accuracy, and scalability.
- Develop, implement, and evaluate deep learning models in production.
- Collaborate with cross-functional teams to deploy research findings into scalable AWS services.
- Publish research in top-tier conferences and journals.
- Mentor fellow scientists and engineers.
About the Team & Company
- Diverse experiences valued; inclusive culture promoting curiosity.
- AWS is a leading cloud platform trusted worldwide.
- Focus on mentorship, career growth, and work-life balance.
Basic Qualifications
- 3+ years of experience building models for business applications.
- PhD or Master's with 4+ years in CS, CE, ML.
- Publications in top-tier conferences/journals.
- Programming skills in Java, C++, Python.
- Knowledge of algorithms, data structures, optimization, and high-performance computing.
Preferred Qualifications
- Experience with Unix/Linux.
- Professional software development experience.
Inclusivity and Support
Support for workplace accommodations available.
Company Details
Company: Amazon Development Center (Tel Aviv) Job ID: A2936287
Additional Information
Highlights
- Models development experience: 3+ years
- Advanced degrees: PhD or Master's
- Publication record
- Programming languages: Java, C++, Python
- Technical expertise in algorithms, data mining, distributed computing.
Benefits
- Work/Life Balance
- Inclusive and supportive work environment.
Key Responsibilities
- Drive research in Multimodal Generative AI.
- Develop production-ready deep learning models.
- Transferring research to AWS scaled services.
- Advancing innovation through publications.
- Mentoring team members.