Define and lead the AI-driven discovery platform at Subsense, integrating AI into generating novel nanoparticle designs and establishing a scalable automated discovery pipeline.
Partner with leading AI companies to accelerate and enhance our biotech development
Must-have experience
8+ years in AI / ML, with strong focus on applied scientific or deep-tech problems
Experience building and deploying ML models in:
materials science, chemistry, biology, or physics (preferred)
or other complex, data-sparse domains
Proven track record of:
turning models into real-world outcomes
working with experimental or noisy datasets
Strong experience with:
generative models / optimization systems
simulation-informed ML or hybrid modeling approaches
data pipelines and iterative learning systems
Ability to work closely with experimental scientific teams
Experience leading or mentoring technical teams
Background in:
materials discovery / computational chemistry
nanoparticle research
bio/chem ML or physics-informed ML
Experience building AI platforms (not just models)
Startup or zero-to-one environment experience
IP generation/patent exposure
Subsense is pioneering the first non-surgical, bidirectional brain-computer interface that uses advanced plasmonic and magnetoelectric nanoparticles. We aim to facilitate direct communication between the human brain and AI, beginning with medical applications like stroke recovery and extending to cognitive enhancement for healthy individuals. By bringing together top scientists and engineers, we are set on redefining human–machine interaction.
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