Applied Scientist, Personalization (AI)

TL;DR

Applied Scientist (AI): Researching, designing, and developing new AI technologies for personalization with an accent on large-scale machine learning solutions. Focus on adopting or inventing new machine learning and analytical techniques in recommendations, information retrieval, and large language models, collaborating to launch new features and products.

Location: Onsite in Tel Aviv, Israel

Company

hirify.global's Personalization organization leverages expertise in 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 in the realm of 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 (data structures and algorithms).
• Excellent coding and design skills, proficiency with Python.
• Publication at top-tier peer-reviewed research conferences or journals.
• Strong communication and collaboration skills.

Nice to have

• Hands-on experience with bringing LLM systems to production.
• Experience in 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, and/or personalization algorithms.
• Publications at top Web, Machine Learning, Natural Language Processing conferences.

Culture & Benefits

• Inclusive culture that empowers hirify.globalians to deliver the best results for customers.
• Join a high-performing group leveraging hirify.global's expertise in machine learning and generative AI.
• Access to large datasets and tremendous computational resources.
• Opportunity to innovate on behalf of millions of customers.
• Influence how customers think about their shopping journey in the future.