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Pear VC - Founding AI Research Scientist

Palo Alto, California, United States+ Equity2d ago

In Office Senior NA Hospitals Artificial Intelligence Research Scientist Founder Reporting Python

Requirements

• Has real research experience — can define a problem, not just execute a known one • Has trained models before (not just fine-tuned APIs) and is fluent in Python • Master's or higher in ML or a related field • Energized by open-ended problems and ambiguity • Wants to publish, not just ship • Takes ownership without needing to be guided • Genuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptions • Prior founder or founding-engineer experience • Strong product taste • Worked on healthcare datasets before • Built LLM-powered products before • Ambitions to start your own company someday — we'll support that path • What you get • Direct, daily work with the founders, plus exposure to board and investor conversations • Real ownership of technical direction, with scope that grows as the company does • Full compute and data to do the work properly • Competitive salary and meaningful equity • Visa sponsorship available

Responsibilities

• Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction • Build clinical reasoning models that improve physician and clinic workflows • Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning • Evaluate computer-use models on real-world tasks • Own the training and evaluation pipeline end to end • Take open-ended problems from question to working model, with minimal predefined structure • Write up findings as technical reports and papers

Benefits

• 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.