Healx - Machine Learning Engineer

• Build automated reasoning over large knowledge graphs and proprietary methods for efficient generation of experimentally testable therapeutic hypotheses • Contribute to building, maintaining and improving our rare-disease knowledge graphs used to identify and reason over novel therapeutic hypotheses • Develop agentic tools and workflows to enable our teams to unlock insight from proprietary data and large datasets • Contribute and advocate for best engineering practices across our tech teams • What success will look like in 6 months • You’ve built a strong understanding of Healx’s drug discovery workflows, our rare-disease knowledge graphs and the key users of our platform • You’ve delivered at least one meaningful improvement to our knowledge graph reasoning or hypothesis-generation stack (from prototype through to production), with appropriate evaluation, testing and documentation • You’re operating effectively in our hybrid, cross-functional environment—communicating progress and trade-offs clearly, partnering well with scientists and engineers, and demonstrating ownership from discovery through delivery • You’re consistently applying and advocating for strong engineering practices (e.g., code quality, reviews, reproducibility, experiment tracking, monitoring/observability where relevant), helping raise the bar across the team • You have an advanced degree (masters, PhD) in machine learning, biochemistry or related field with a focus on applied research or equivalent industry experience applying machine learning to complex real-world problems • You have a strong software development experience in Python and a good appreciation of the principles of software engineering