AI Researcher / ML Engineer

About The Role

We're looking for an AI Researcher / ML Engineer to lead the development of intelligent features across TERP. Healthcare generates rich, structured data — therapy session notes, scheduling patterns, billing cycles, patient progress trajectories — and we're building the AI layer that turns this data into actionable clinical and operational insights. You'll work on problems like: automated clinical note summarization using LLMs, intelligent scheduling optimization that accounts for therapist specializations and patient needs, predictive models for patient no-shows and billing anomalies, and NLP pipelines that extract structured data from Hebrew-language therapy notes. This is an applied research role. We don't publish papers for the sake of publishing — we ship models that run in production and make real healthcare professionals' lives measurably better. You'll own the full ML lifecycle: problem formulation, data exploration, model development, evaluation, deployment, and monitoring. You'll work closely with our engineering team to integrate models into the product and with our customer-facing teams to understand the clinical workflows your models need to support. Healthcare AI is uniquely rewarding — every model you ship has the potential to improve patient outcomes at scale.

Requirements

• 4+ years of experience in machine learning, NLP, or AI research — academic or industry
• Strong programming skills in Python with experience in PyTorch, TensorFlow, or JAX
• Hands-on experience with Large Language Models — fine-tuning, prompt engineering, RAG architectures, evaluation
• Experience deploying ML models to production — model serving, monitoring, drift detection
• Strong statistical foundations — experimental design, hypothesis testing, evaluation methodology
• Ability to translate ambiguous business problems into concrete ML formulations
• Experience working with real-world messy data — missing values, class imbalance, noisy labels

Nice to Have

• Experience with Hebrew NLP — tokenization, morphological analysis, pre-trained Hebrew models
• Healthcare AI experience — clinical NLP, EHR data mining, medical ontologies
• Experience with Google Cloud AI/ML services (Vertex AI, Cloud Functions for inference)
• Published research in relevant domains (NLP, healthcare AI, recommender systems)
• Experience with data privacy frameworks relevant to healthcare (anonymization, differential privacy)

Benefits

• Competitive salary with significant equity participation
• Hybrid work model — Holon office + remote flexibility
• Flexible working hours
• Comprehensive health insurance
• GPU compute budget for research and experimentation
• Conference and publication budget
• Opportunity to build healthcare AI from the ground up

Excited about this role?

We'd love to hear from you. Apply now and let's build the future of healthcare together.

Apply Now