Black and white U depicting a digital twin

Unlearn.AI

HQ
San Francisco
Total Offices: 2
65 Total Employees
49 Product + Tech Employees
Year Founded: 2017

Jobs at Unlearn.AI

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Recently posted jobs

2 Days AgoSaved
Remote or Hybrid
San Francisco, CA, USA
Artificial Intelligence • Generative AI
Leads full-cycle recruiting for technical, scientific, and operations roles, including sourcing, intake, interviews, offers, and closing. Partners with hiring managers to define requirements and structured interview plans, manages compensation discussions, tracks recruiting metrics, improves hiring processes, builds employer brand, supports inclusive hiring, leads onboarding, and contributes to HR projects. The role focuses on recruiting specialized talent for a growth-stage AI and life sciences company.
16 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Generative AI
Leads Unlearn’s engineering organization across core engineering, applications, ML/AI Ops, infrastructure, and forward deployment. Owns system quality, reliability, compliance, security, execution, hiring, team design, and engineering roadmap delivery. Partners with Product, R&D, Delivery, and company leadership to translate strategy into shipped AI-powered platforms, tools, and services in a regulated environment. Establishes an AI-centric culture and ensures engineering commitments align with business objectives.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Generative AI
Build and scale AI agents, tools, infrastructure, and governance systems supporting digital twin workflows for clinical development. Collaborate with research, development, and delivery scientists to create AI-centric solutions, gather user feedback, drive adoption, communicate capabilities, and monitor advances in AI tooling. The role requires healthcare or clinical machine learning experience, AWS expertise, and demonstrated industry execution of AI projects.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Generative AI
Develop and implement ML models to generate digital twins and predict disease progression using real-world clinical data; adapt proprietary architectures, communicate results to stakeholders, stay current with ML research, and represent the company to the scientific community.