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About the role
We are looking for a Member of Technical Staff to own the systems behind our drug discovery research. Our small engineering team works across scientific data pipelines, model training and evaluation, inference, compute infrastructure, and developer tooling. You will own projects across these areas as priorities evolve, working with researchers to identify important problems and take solutions from investigation through deployment and ongoing operation. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong Python and software engineering fundamentals, including data structures, interface design, testing, concurrency, and systematic debugging
- A track record of owning substantial software systems from design through deployment and ongoing operation, including diagnosing failures and improving performance and reliability
- Experience building or supporting ML or scientific computing workflows, with an understanding of how data, model execution, and evaluation fit together
- Practical PyTorch experience, including debugging model execution and understanding how data loading, device placement, gradients, and memory use affect training and inference
- Experience running software on Linux, working with containers, and shipping maintainable changes through automated tests and CI/CD
- Demonstrated ability to learn unfamiliar systems, make technical decisions independently, and communicate the reasoning and tradeoffs clearly
More about this role
Member of Technical Staff
Proxima (formerly VantAI) is advancing an AI-native approach to drug discovery by making protein interactions programmable. Our platform brings together foundation-model machine learning, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world’s leading biopharma and tech organizations. We’ve recently closed an oversubscribed seed round, partnering us with an elite group of sophisticated and dedicated VCs including DCVC, Nvidia’s Nventures, AIX, Yosemite, among others.
Neo-1 is our all-atom foundation model that combines state-of-the-art structure prediction and molecular generation in a single system. Neo-1 enables rapid exploration of chemical and structural space for high-value, previously intractable targets, and, in particular, unlocks small molecule proximity therapeutics like molecular glues with AI for the first time.
In parallel, we are developing an advanced structural interactomics platform ( NeoLink ) built on proprietary XLMS technology and a lab equipped with next-generation mass spectrometry instrumentation. This platform produces proteome-scale maps of protein interactions and...
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