were passionate about simplifying healthcare by automating the accurate interpretation of clinical language.
Our interdisciplinary team has developed innovative technology that can understand clinical language and provides an entirely new way of analyzing and decoding medical records into clear, concise, and actionable information. This ensures clinical and administrative teams can spend more time on patient care.
the future is bright. Our engine currently processes over five million charts annually in more than 150 emergency department and urgent care settings across the US. We are backed by top-tier VCs and are growing, with offices in NYC and Tel Aviv.
Role description:
seeking an experienced and passionate Research Team Lead to drive innovation in our growing R&D team. In this role, you will lead a team of NLP research engineers and linguists, developing cutting-edge machine learning solutions for our core products. You will collaborate with stakeholders to identify key business challenges, prioritize research efforts, and deliver high-impact AI solutions.
Responsibilities:
Lead and mentor a team of 5 NLP Research-Engineers and 3 Linguist Analysts, while overseeing technical and personal aspects.
Foster a culture of innovation, collaboration, and excellence within the team.
Provide expertise in classical Machine Learning and Deep Learning methodologies.
Oversee the development, deployment, and support of critical ML models.
Plan and execute medium- to long-term projects, ensuring smooth progression from research to deployment.
Collaborate with Product and Engineering teams to integrate ML solutions into our platform.
Identify emerging trends and algorithmic advancements to enhance our products.
Represent the team in technical and managerial meetings, coordinating across functions.
Requirements: 2+ years of experience managing or technically leading a team of ML Research-Engineers, from brainstorming to deployment.
5+ years of hands-on experience developing Deep Learning algorithms.
Strong background in NLP and Deep Learning fundamentals.
Proficiency in Python and experience with Deep Learning frameworks.
Experience leading long-term research and development projects in the industry.
Advanced knowledge in Information Retrieval, Entity Linking, and Graph Representations.
This position is open to all candidates.