Description

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Amazon is seeking a passionate, talented, and inventive Sr. Research Engineer with a robust background in AI/machine learning to join our AWS Computer Vision science team. Based in Haifa or Tel Aviv, you’ll be instrumental in advancing technology in Computer Vision, Generative AI, and foundational models. As a key member of the Amazon AWS Textract AI science team, your work will directly impact millions by developing algorithms that optimize foundational model inference engines. You’ll have access to Amazon’s vast computing resources and collaborate with a team of experts in a supportive, diverse environment.

Your role involves leading software component design, developing evaluation frameworks, and optimizing deep learning models within AWS’s production environment. This position offers the unique opportunity to solve real-world problems and innovate alongside top-tier engineers and applied scientists.

Ideal candidates are experienced in research methodologies, particularly in fields like Computer Vision, AI, LLMs, Machine Learning, NLP, or Large-Scale Systems. Join us to make a significant contribution to groundbreaking technology right from the start.

About The Team

• Diverse Experiences
  
  

Amazon 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.

• Why AWS
  
  

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

• Work/Life Balance
  
  

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

• Inclusive Team Culture
  
  

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

• Mentorship and 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.

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

Tel Aviv, ISR

Basic Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Prior experience with model inference optimization techniques like TensorRT, ONNX, or similar
  
  

Preferred Qualifications

• Proficient in handling large-scale machine learning systems, including profiling, debugging, and enhancing system performance and scalability.
• Solid experience in training and fine-tuning Large Language Models (LLMs) or working with diverse inference engines.
• In-depth knowledge of GPU architectures with a preference for candidates experienced in optimizing across various hardware platforms and systems
  
  
  
  

Company - Amazon Development Center (Tel Aviv)

Job ID: A2554103