Head of AI

TLDR

Define and lead the AI-driven discovery platform at Subsense, integrating AI into generating novel nanoparticle designs and establishing a scalable automated discovery pipeline.

Key Responsibilities
  • Build and lead the AI platform from scratchfor:

    • virtual generation of novel biocompatible magnetic nanoparticles

    • synthesis guidance and optimization

    • prediction of biological and physical properties

    • Integrate experimental data into model fine-tuning loops (CRO + in-house)

    • Partner with leading AI companies to accelerate and enhance our biotech development

    • Drive creation of new IP through AI-generated materials, compositions, and model frameworks

    • Partner closely with R&D to translate AI outputs into real-world synthesis and validation

    • Establish a scalable pipeline:

      • generate → prioritize → synthesize → test → learn → iterate

        • Lead transition from outsourced validation (CROs) to partially in-house AI-guided experimentation

        • Define and implement data infrastructure, datasets, and feedback loops

        • Build toward full-stack automation of discovery (early stage)

        • Hire and lead a high-performance AI / ML team over time

What You'll Bring

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


        • Strong plus

          • 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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