Quick overview
Job description
Member of Frontier Research
Build the Ortet Health Model—the foundation model that continuously improves intelligence for every patient.
About Ortet
Ortet is a frontier AI lab for health. We imagine a future where everyone has access to affordable, precise, and better care.
Centered on individual patients, Ortet connects the biological, clinical, operational, and financial dimensions of care so intelligence continuously improves for every patient and delivers predictably better care.
Ortet is a founding-stage company in New York City, and we work in person. You will join as one of the first members of a small, high-impact team and build Ortet together with us.
About the team
Frontier Research is the team behind the Ortet Health Model. We work on the core scientific problem of the company: how to create continuously improving intelligence for every patient. The agenda spans data, training, and evaluation in realistic settings, intersecting with causality, multimodality, environments, and agents. Your research will ship: models here are built to enter a closed learning loop with practice, and results are measured in care.
We are hiring across pretraining, post-training, evaluation, agents, multimodality, and data.
What you’ll do
Define the research agenda with the founding team, across foundation models, causality, multimodality, agents
Research and build the Ortet Health Model, from data and training through evaluation in real-world settings
Pursue the problems you judge most important, with the compute and freedom to go deep, from design to execution
Set the scientific standards and research culture of Ortet
What we look for
Required:
Hands-on experience training and evaluating foundation models, and making judgment calls in open-ended problems
Readiness to go deep on clinical, care, and biology practice, and to focus on any research the mission needs
The drive to own problems end to end, from question to deployed result, with all the unglamorous work in between
A track record of strong machine learning research, shown through publications, models, or systems
Nice to have:
Depth in causal inference, multimodal learning, reinforcement learning, interpretability, or agents
Experience with clinical, biological, or other health data
Experience carrying research into production
Range to explore with creativity and to exploit with rigor
What we offer
Competitive salary and meaningful equity. Top-tier health, dental, and vision coverage for you and your dependents, plus 401(k). The compute and resources your research demands. And scope you will find nowhere else: the problems you define here reshape the industry nobody can opt out of.
Process
Our process adapts to each candidate. It typically includes several conversations with the founding team, technical interviews, a take-home, and a research talk.
Ortet is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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