Head of AI

Aqemia.Com; Paris; Hybride; EUR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Paris/London offices

Flexible work arrangements: up to two远

Résumé du poste

AQEMIA is building a high‑impact AI platform for drug discovery with offices in Paris and London. As Head of AI, you will lead a 10–15 person ML team, define the roadmap, and ensure execution across research, engineering, and scientific stakeholders.

You’ll advance frontier ML architectures, scale high‑throughput workflows, and collaborate with chemistry, biology, physics, and leadership to turn breakthroughs into platform impact within 12 months.

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.

Responsabilités

• Lead AQEMIA’s ML research organisation, mentoring and growing a ~15 person team of ML scientists and researchers.
• Own the predictive ML modeling roadmap, define priorities, set direction, and align with platform evolution.
• Drive frontier ML innovation, exploring transformers, GNNs, diffusion models, and multimodal techniques.
• Scale high‑throughput ML workflows and oversee production‑ready pipelines for massive chemical spaces.
• Collaborate across chemistry, biology, physics, engineering, and leadership to integrate ML into discovery workflows.
• Ensure scientific rigor, benchmarking, validation, and robustness across predictive systems.
• Translate research into platform impact, accelerating drug design cycles.

Connaissances

ML leadership

Transformers

GNNs

Diffusion models

Multimodal systems

Python

Scientific ML

Formation

Master’s degree or PhD in ML/AI or a computational scientific field

Outils

PyTorch

TensorFlow

SciPy stack

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.

• 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.

• 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.

• 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