Machine Learning Team Lead - Foundation Models & Probabilistic AI
AI Drug Discovery Startup | Full-time
About Us
We’re an AI-native biotech company building foundation models for biology to transform how new medicines are discovered. By combining large-scale multimodal biological datasets with probabilistic machine learning and generative AI, we’re developing systems capable of predicting complex biological behaviour at unprecedented scale.
Our mission is to create general-purpose biological intelligence that accelerates therapeutic discovery across oncology, immunology, and rare diseases.
Backed by top-tier investors and leading scientific advisors, we’ve recently secured major funding to expand our ML platform and research capabilities globally.
The Role
We’re looking for a Machine Learning Team Lead to lead a high-performing team working on foundation models and probabilistic ML systems for drug discovery.
You’ll sit at the intersection of research and engineering – driving technical direction, mentoring senior engineers and researchers, and helping scale both our platform and team as we push toward state-of-the-art biological modelling.
This is a hands‑on leadership role for someone excited by frontier AI, scientific impact, and building exceptional ML organisations.
What You’ll Be Doing
* Leading a team of ML engineers and applied researchers building large‑scale foundation models for biological data
* Defining technical strategy across probabilistic modelling, representation learning, and generative AI systems
* Architecting scalable distributed training infrastructure for multi‑billion parameter models
* Driving productionisation of research systems into robust internal discovery platforms
* Collaborating with computational biologists, cheminformaticians, and leadership on long‑term research initiatives
* Establishing engineering standards, experimentation workflows, and model evaluation practices
* Mentoring and growing a world‑class ML engineering team
* Helping shape hiring strategy and technical roadmap as the company scales
What We’re Looking For
* Proven experience leading ML engineering or applied research teams
* Strong background building and scaling deep learning systems in production
* Deep understanding of foundation model architectures and modern generative AI techniques
* Experience with probabilistic ML approaches such as Bayesian inference, latent variable models, or uncertainty‑aware systems
* Strong software engineering and distributed systems experience
* Ability to balance research innovation with engineering execution
* Excellent communication and stakeholder management skills
Nice to Have
* Experience in biotech, computational biology, or AI for science
* Familiarity with molecular modelling, protein representation learning, or biological datasets
* Publications or contributions in advanced ML research
* Experience scaling ML organisations in startup environments
Why Join?
* Lead one of the most technically ambitious AI teams in biotech
* Work on frontier AI problems with direct impact on human health
* Significant ownership, autonomy, and influence over technical direction
* Competitive compensation and meaningful equity package
* Access to cutting‑edge compute infrastructure and proprietary datasets
* Collaborative culture built around scientific curiosity and engineering excellence
Please apply directly through this job advert.
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