Head of AI

Location: Paris, France. Hybrid work with up to two remote days per week; offices are also located in London.

Company

hirify.global is a drug invention company developing novel medicines through its QEMI platform, which combines physics-based modeling, statistical mechanics, and generative AI.

What you will do

• Lead, manage, mentor, and grow a team of approximately 15 ML scientists and researchers.
• Own the predictive ML modeling roadmap, set priorities, and align research with platform and company strategy.
• Guide the development of advanced architectures including transformers, graph neural networks, diffusion models, and multimodal systems.
• Oversee production-ready, high-throughput ML pipelines for evaluating large chemical spaces efficiently and reproducibly.
• Partner with chemistry, biology, physics, engineering, and leadership teams to integrate ML into drug discovery workflows.
• Establish standards for benchmarking, validation, robustness, and translating research breakthroughs into faster drug design cycles.

Requirements

• Master’s degree or PhD in ML, AI, computer science, physics, applied mathematics, or a related computational scientific field.
• At least 5 years of experience leading scientific or technical teams, including mentoring, hiring, performance management, and roadmap ownership.
• Deep expertise in machine learning for complex, high-dimensional data and research-driven model development.
• Strong Python and scientific ML ecosystem experience.
• Experience building predictive models for scientific or structured domains.
• Ability to improve model performance, efficiency, and robustness in production-adjacent environments.

Nice to have

• Experience in drug discovery, computational chemistry, or molecular modeling.
• Familiarity with multimodal ML combining structural, sequence, and chemical data.
• Experience scaling ML systems across multiple programs or large-scale scientific pipelines.
• Platform or infrastructure-level ML development experience.
• Research contributions such as papers, open-source projects, or benchmarks.

Culture & Benefits

• Work on AI and physics applications aimed at changing how medicines are discovered.
• Collaborate with an interdisciplinary team spanning AI, physics-based modeling, biology, and medicinal chemistry.
• Contribute to an expanding drug discovery pipeline covering oncology, CNS, and immuno-inflammation.
• Flexible hybrid arrangements with up to two remote days per week.
• Work from offices in central Paris or London’s King’s Cross.
• Join a company backed by leading European and international investors, with $100M raised.