Applied Scientist (AI)

TL;DR

Applied Scientist, Personalization (AI): Researching, designing, and developing new AI technologies for personalization within Amazon's e-commerce platform with an accent on information retrieval, large language models, and recommendation systems. Focus on inventing, experimenting with, and launching new features and systems that delight customers with personalized experiences.

Location: Onsite in Tel Aviv, Israel

Company

hirify.global is a high-performing group leveraging machine learning, generative AI, and large-scale data systems to deliver personalized shopping experiences for millions of customers.

What you will do

• Research, design, and develop new AI technologies for personalization.
• Adopt or invent new machine learning and analytical techniques for recommendations, information retrieval, and large language models.
• Collaborate with scientists, engineers, and product partners locally and abroad.
• Invent, experiment with, and launch new features, products, and systems.

Requirements

• MSc in CS/EE or related field and 2+ years of applied research experience.
• Strong CS foundations including data structures and algorithms.
• Proficiency with Python and excellent coding/design skills.
• Publication at top-tier peer-reviewed research conferences or journals.
• Strong communication and collaboration skills.

Nice to have

• Hands-on experience bringing LLM systems to production.
• Experience building and launching deep learning and machine learning models for business applications.
• Solid knowledge of big data and cloud technologies (e.g., Spark, AWS).
• Experience with information retrieval, recommender systems, natural language processing, or personalization algorithms.
• Publications at top Web, Machine Learning, Natural Language Processing conferences.

Culture & Benefits

• Inclusive culture empowering Amazonians to deliver the best results for customers.
• Opportunity to work within Amazon’s Personalization organization.
• Directly influence future customer shopping journeys.
• Support for workplace accommodation or adjustment during the application and hiring process.