About Optexity
Optexity is a product-driven research lab building clinical reasoning and computer use models on data no other lab can reach. We deploy directly inside clinics and hospitals — including systems with no APIs, using integration infrastructure we've built and open-sourced — and in return become their preferred partner. That gives us proprietary clinical reasoning trajectories from practicing physicians, and a feedback loop between real patient encounters, our models, and the products built on top of them.
We're a small, fast-moving founding team with multiple published papers in NeurIPS, ICML, CVPR etc and background from Apple, Amazon, Microsoft, CMU, IIT.
We are backed by world-class investors and leaders like Jeff Dean, Neotribe VC, PearVC, Together Fund and Zapier Fund.
How we work
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Customer obsession — we start with the customer and work backwards
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Intellectual honesty — ideas matter more than titles; we communicate directly and assume good intent, even in disagreement
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Bias for action — we build and learn with customers rather than debate in the abstract
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Extreme ownership — we own outcomes, not just tasks, and see problems through
Why this role exists
Most research roles at this stage hand you a dataset everyone already has and ask you to be marginally better than the last person who tried. Here you get data nobody else has — real clinical reasoning trajectories from practicing physicians — and the room to figure out what to do with it. This is a founding research hire: you'll define the agenda as much as execute it, with direct founder access, real compute, and nothing between an idea and an experiment.
What you'll do
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Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction
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Build clinical reasoning models that improve physician and clinic workflows
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Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning
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Evaluate computer-use models on real-world tasks
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Own the training and evaluation pipeline end to end
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Take open-ended problems from question to working model, with minimal predefined structure
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Write up findings as technical reports and papers
Ideal candidate
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Has real research experience — can define a problem, not just execute a known one
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Has trained models before (not just fine-tuned APIs) and is fluent in Python
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Master's or higher in ML or a related field
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Energized by open-ended problems and ambiguity
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Wants to publish, not just ship
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Takes ownership without needing to be guided
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Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions
Nice to have
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Prior founder or founding-engineer experience
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Strong product taste
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Worked on healthcare datasets before
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Built LLM-powered products before
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Ambitions to start your own company someday — we'll support that path
What you get
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Direct, daily work with the founders, plus exposure to board and investor conversations
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Real ownership of technical direction, with scope that grows as the company does
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Full compute and data to do the work properly
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Competitive salary and meaningful equity
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Visa sponsorship available