Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. Backed by Accel, Index and Y Combinator.
About the role
Scale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Own the implementation, testing, and delivery of defined AI components within an established system design
- Build agent tools, model integrations, and the backend services and APIs they depend on
- Run and extend evaluations within an established framework, interpret results, investigate common failure modes, and flag regressions
- Debug production issues in the components you own and resolve them using the team's engineering practices
- Communicate progress and blockers early, and take responsibility for delivery dates within your scope
- Work directly with client teams on the requirements and feedback for your components
More about this role
Scale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations.
You'll own scoped components of those systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery. Senior engineers set the system-level design and client commitments, so you can go deep on making your components work reliably on real data.
- Own the implementation, testing, and delivery of defined AI components within an established system design
- Build agent tools, model integrations, and the backend services and APIs they depend on
- Run and extend evaluations within an established framework, interpret results, investigate common failure modes, and flag regressions
- Debug production issues in the components you own and resolve them using the team's engineering practices
- Communicate progress and blockers early, and take responsibility for delivery dates within your scope
- Work directly with client teams on the requirements and feedback for your components
- Share...
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