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Senior / Principal Machine Learning Scientist
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The role
Lead the design and implementation of novel ML methodologies (generative models, diffusion, and transformers) to tackle cell health and rejuvenation challenges.
Own the long-term technical vision for multi-modal data fusion and perturbation modeling, translating theory into high-impact applications.
Build and optimize scalable ML systems using PyTorch/JAX across large GPU clusters and terabytes of multi-modal biological data.
Develop robust multi-modal data integration and cross-domain mapping to derive actionable insights for drug targets and cellular responses.
Mentor ML scientists and engineers, elevating rigor, reproducibility, and collaboration across teams.
Collaborate with translational biology to ensure research outcomes are scientifically rigorous, ethically sound, and mission-aligned.
Own the long-term technical vision for multi-modal data fusion and perturbation modeling, translating theory into high-impact applications.
Build and optimize scalable ML systems using PyTorch/JAX across large GPU clusters and terabytes of multi-modal biological data.
Develop robust multi-modal data integration and cross-domain mapping to derive actionable insights for drug targets and cellular responses.
Mentor ML scientists and engineers, elevating rigor, reproducibility, and collaboration across teams.
Collaborate with translational biology to ensure research outcomes are scientifically rigorous, ethically sound, and mission-aligned.
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