Foundational Model Engineer — Multimodal & Agentic Medical AI Systems
Bangaloreonsitemid
via Greenhouse
About this role
About the Role
You will be one of the earliest engineering hires responsible for building the technical backbone that powers our 3D-volume foundation model and the agentic medical AI systems built on top of it.
This role blends ML systems engineering, high-performance computing, and foundation-model infrastructure, enabling our research scientists to train and deploy cutting-edge multimodal models at scale.
You will design the pipelines, tooling, distributed systems, and evaluation frameworks that make world-class research possible—and usable in clinical settings.
If you’re the kind of engineer who loves training clusters, PyTorch internals, scalable data loaders, CUDA kernels, model parallelism, and agentic inference systems, this is your role.
What You Will Work On…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, milvus, kubernetes, pytorch, jax…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Bangalore. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonmilvuskubernetespytorchjaxrayteams
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