we are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.
You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.
Responsibilities:
Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.
Requirements: 3+ years of experience leading or managing research teams (ML/NLP/AI), including ownership from ideation to deployment.
5+ years of hands-on applied experience in ML, NLP and Generative-AI, with a track record of delivering models into production.
Strong foundation in Deep Learning & NLP fundamentals, including representation learning, optimization, evaluation methodologies and error-analysis.
Proficiency in Python and modern ML/DL frameworks (e.g., PyTorch, TensorFlow).
Demonstrated ability to lead long-term Research initiatives in the industry - prioritizing, scoping, iterating and delivering measurable value.
Demonstrated AI-first mindset, coupled with pragmatic decision-making. With proven ability to evaluate and apply LLM/hybrid-AI solutions alongside classical ML models, selecting architectures based on performance, scalability, and ROI.
Advanced knowledge in Information Retrieval, Entity Linking, and Graph-based representations.
Experience deploying and managing ML solutions in cloud environments (AWS), including MLOps - advantage.
This position is open to all candidates.