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Unlearn AI

AI-powered patient digital twins for simulations

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A Bachelor of Science in computer science or engineering, physics, mathematics, or a related field is required.
  • Prior experience working with healthcare or clinical machine learning applications is required.
  • At least 2 years of experience developing AI skills, agents, and tools and applying them to solve real-world problems is required.
  • Experience with AI systems, from infrastructure through agent creation and use, is required.
  • Experience with AWS cloud computing services is required.
  • Evidence of successfully executing AI projects in an industry setting is required.

Responsibilities

  • Build AI agents, skills, and tools that are core components of workflows to create and deliver digital twins to customers.
  • Build infrastructure, harnessing, and governance systems to manage agentic workflows in line with regulatory and compliance requirements.
  • Collaborate with scientists across research, development, and delivery teams to define and build AI-centric solutions.
  • Work across teams to gain user feedback and increase adoption of new tools.
  • Clearly communicate capabilities and use to internal and external stakeholders.
  • Stay up to date with developments in AI tooling to inform the organization's work.

About the Company

Unlearn AI

AI-powered patient digital twins for simulations

Unlearn.AI builds AI-powered digital twins of patients to simulate health outcomes and predict how a patient’s condition may evolve over time. Its platform uses patient data to generate virtual replicas and run treatment scenarios to forecast results and guide care decisions. The technology can model control groups in clinical trials, potentially speeding drug development and reducing the number of real participants. The company uses a service/subscription model, charging providers and pharmaceutical partners for access, with the aim of improving trial efficiency and lowering healthcare costs.

Company size
51-200
Company stage
Series C
Total funding
$130.7M
Headquarters
San Francisco, CA
Founded
2017

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