Head of AI

AQEMIA; Paris; Hybride; EUR 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Flexible remote days

Offices in Paris and London

Résumé du poste

AQEMIA is seeking a Head of AI to lead the foundational models and high‑throughput workflows powering our discovery platform. You will manage and mentor a 10–15 person ML research team, define the roadmap, set priorities, and align across research, engineering, and scientific stakeholders.

You’ll operate at the intersection of frontier machine learning, scientific modeling, and platform design, guiding architectures for complex molecular environments and high‑impact predictions.

Qualifications

• Master’s degree or PhD in ML/AI or a computational scientific field.
• 5+ years leading scientific or technical teams, including mentoring and roadmap ownership.
• Deep expertise in machine learning for complex, high‑dimensional data with state‑of‑the-art architectures.
• Strong Python and scientific ML ecosystem experience.
• Experience building predictive models for scientific or structured domains (drug discovery, biology, physics, etc.).

Responsabilités

• Lead AQEMIA’s ML research organisation by managing and growing a 10–15 person team of ML scientists and researchers.
• Own the predictive ML modeling roadmap and align initiatives with platform evolution and company strategy.
• Drive frontier ML innovation across architectures (transformers, GNNs, diffusion models) and techniques.
• Scale high‑throughput ML workflows with production‑ready pipelines for massive chemical spaces.
• Collaborate across chemistry, biology, physics, engineering and leadership to integrate ML insights into discovery workflows.
• Ensure scientific rigor with benchmarking, validation, and robustness across predictive systems.
• Translate research into platform impact to accelerate drug design cycles.

Connaissances

Leadership experience

Advanced ML/AI expertise

Python proficiency

ML for scientific domains

Roadmap ownership

Formation

Master’s or PhD in ML/AI or related field

Description du poste

About AQEMIA

AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting‑edge science with advanced technology. Powered by physics‑based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.

What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never‑before‑seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies.

Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.

For more information, visit AQEMIA.com, our WTTJ Page, and our LinkedIn.

About Our Team

AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early‑stage drug discovery.

This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting‑edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention.

About Our Platform Department

The Platform team (:20 people) brings together multidisciplinary teams working on the scientific core of Aqemia’s drug discovery engine. Its mission is to build scalable and reproducible workflows enabling multiple drug discovery programs to run in parallel with minimal manual intervention.

The team combines expertise across Artificial Intelligence and Machine Learning (both research and applications), data science, statistical physics and molecular simulations, computational chemistry (CADD), and other scientific disciplines. Together, they develop predictive models, physics‑based simulations, and robust scientific pipelines that power AQEMIA's discovery platform.

At the center of this ecosystem is the “Rocket Launcher” process: an industrialized workflow continuously launching, testing, and improving drug discovery projects through iterative scientific feedback loops.

The role

AQEMIA is building one of the most ambitious applications of AI with physics: predictive systems that can evaluate and design drug candidates at massive scale. As Head of AI, you will lead the team responsible for the foundational models and high‑throughput workflows that power our discovery platform. This is a strategic and people‑focused role: you will manage and mentor a 10‑15 people ML research team, define the roadmap, set priorities, and ensure execution across research, engineering, and scientific stakeholders.

You’ll operate at the intersection of frontier machine learning, scientific modeling, and platform‑level systems design, guiding the development of architectures capable of understanding complex molecular environments and making high‑impact predictions. Your work blends state‑of‑the‑art ML thinking with leadership, decision‑making, and cross‑functional alignment. Within 12 months, success means delivering breakthroughs in predictive accuracy, throughput, and reliability, enabling AQEMIA to accelerate discovery cycles and push the boundaries of scientific AI.

Responsibilities

• Lead AQEMIA’s ML research organisation by managing, mentoring, and growing a :15 person team of ML scientists and researchers, fostering autonomy, scientific excellence, and high‑performance execution
• Own the predictive ML modeling roadmap by defining priorities, set direction, and align research initiatives with platform evolution and company strategy
• Drive frontier ML innovation, steer exploration of advanced architectures (transformers, GNNs, diffusion models, multimodal systems) and emerging techniques relevant to scientific AI
• Scale high‑throughput ML workflows by overseeing the design of production‑ready pipelines capable of evaluating massive chemical spaces efficiently and reproducibly
• Collaborate across disciplines partnering with chemistry, biology, physics, engineering and leadership teams to integrate ML insights into discovery workflows and strategic decision‑making
• Ensure scientific rigor and model excellence, establish standards for benchmarking, validation, and robustness across all predictive systems
• Translate research into platform impact ensuring modeling breakthroughs directly accelerate AQEMIA’s drug design cycles and unlock new capabilities for the platform

Qualifications

• Master’s degree or PhD in ML/AI or a computational scientific field (machine learning, computer science, physics, applied mathematics)
• 5+ years leading scientific or technical teams, including mentoring, hiring, performance management and roadmap ownership
• Deep expertise in machine learning for complex, high‑dimensional data — experience with SOTA architectures and research‑driven model development
• Strong Python and scientific ML ecosystem experience
• Experience building predictive models for scientific or structured domains (drug discovery, biology, physics, materials, climate, etc.)
• Ability to evaluate and improve model performance, efficiency, and robustness in production‑adjacent environments

Nice‑to‑Have

• Experience in drug discovery, computational chemistry, or molecular modeling — domain knowledge is a plus but not required
• Familiarity with multimodal ML (e.g., combining structural, sequence, and chemical data)
• Experience scaling ML systems across multiple programs or large‑scale scientific pipelines
• Background in platform or infrastructure‑level ML development
• Contributions to research communities (papers, open‑source, benchmarks)

Why Join Us?

• At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast‑growing company and team.
• Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno‑inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.
• World‑Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics‑based modeling, biology, and medicinal chemistry to push the boundaries of innovation.
• DeepTech Recognition : AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.
• Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week.
• Strong Financial Backing : $100M raised from leading European and International investors

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.