A
Applied Scientist, Personalization
·Israel
Not specifiedFull-timeData ScienceeCommerce
Design and build ML and LLM-powered solutions for customer memory and personalization systems. Own end-to-end delivery from problem formulation to production deployment, driving measurable customer impact through fact extraction, temporal reasoning, and grounded personalization.
Responsibilities
- Design and build ML and LLM-powered solutions for customer memory and personalization
- Own end-to-end delivery of ML solutions from problem formulation to production deployment
- Work on extracting, validating, and applying customer knowledge in production systems
- Drive work across fact extraction, memory quality, temporal reasoning, and grounded personalization
- Collaborate with engineering and product teams to translate research into customer impact
Requirements
- Proficiency in programming languages such as C/C++, Python, Java or Perl
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Strong communication skills with leadership and cross-functional teams
Nice to have
- 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, NLP, or personalization algorithms
- Publications at top ML/NLP conferences (KDD, ICML, NeurIPS, ACL, EMNLP)