Youll work alongside senior data scientists and ML engineers on production AI systems that directly impact clinical care.
This is a hands-on role. Youll contribute to real projects from day one: improving AI-powered services, building evaluation pipelines, working on data quality and processing, and supporting the infrastructure that keeps our systems running reliably at scale. We value people who can operate independently, learn quickly, and deliver quality work in a fast-moving environment.
Responsibilities
Contribute to our production AI services (Python)
Build and maintain evaluation frameworks and data pipelines
Conduct data analysis to support research, quality validation, and product decisions
Support model integration and deployment workflows
Collaborate with DevOps, QA, and Product teams on cross-functional deliverables
Document technical work and share knowledge with the team
Master's degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
Has 3+ years of experience with statistical and machine learning tools – Python, R, etc.
Strong Python programming skills
Strong understanding of ML/NLP fundamentals (transformers, embeddings, language models, fine-tuning concepts)
Experience building LLM-based systems beyond basic API calls (e.g., multi-step pipelines, structured outputs, error handling, fallbacks, agentic flows)
Strong data analysis skills and familiarity with evaluation methodologies & metrics
High proficiency with AI-assisted development tools (Cursor, Claude Code, Copilot, or similar)
Solid experience with APIs, databases, and software engineering best practices
Excellent problem-solving abilities and attention to detail
Strong communication skills in Hebrew & English
