Lead Research Engineer Applied ML

, and release criteria. • Build NLP and LLM solutions for clinical information extraction, patient-trial matching, and real-world evidence workflows. • Drive experimentation, model evaluation, error analysis, and performance improvements. • Review technical designs, code quality, and experiment plans submitted by engineers. • Mentor research engineers and establish engineering best practices across teams. • Partner with clinical, product, MLOps, and evaluation teams to ensure scalable and reliable AI solutions. • Act as the primary technical owner for workstreams and drive execution with minimal leadership oversight. The Successful Applicant We're Looking For Someone Who Has • 5-10+ years of experience in Machine Learning, NLP, or LLM engineering with production deployment experience. • Demonstrates a strong track record of independently owning and delivering technical workstreams. • Possesses expert-level Python programming and ML engineering skills. • Has deep expertise in LLMs, Transformers, RAG, embeddings, fine-tuning techniques, prompt engineering, and evaluation methodologies. • Can design rigorous experiments, define meaningful metrics, and analyze model failures systematically. • Has experience mentoring engineers, conducting design reviews, and influencing team performance. • Is comfortable making architectural decisions and collaborating with multiple stakeholders across functions. • Experience in healthcare AI, clinical NLP, oncology data, EHRs, or regulated environments is highly desirable. What's on Offer • Opportunity to build AI systems that directly impact cancer research and patient outcomes. • Exposure to cutting-edge challenges at the intersection of AI, healthcare, and large-scale data systems. • Work with a high-caliber team across AI, engineering, and product functions. • Competitive compensation package. • Fast-paced, ownership-driven culture with company-sponsored workations. • Complimentary office lunch. • Flexible working hours focused on outcomes rather than attendance. • Comprehensive health insurance coverage for employees and families, along with meal