AI and machine learning recruitment

Define the problem behind the title.

An AI engineer building a customer-facing application faces different constraints from someone developing models or maintaining a data platform. A useful brief separates research, evaluation, production engineering and data ownership. That gives the search a clearer target and makes candidate conversations more meaningful.

A useful starting brief

• Is the work model research, applied product development, or infrastructure?
• How will you evaluate quality, latency, cost and reliability?
• What data exists, and who owns its quality and access?
• Who will support deployment, monitoring and product decisions?

Thoughtful introductions

We explore research contributions, experiments, evaluations and production systems, alongside how candidates communicate complex ideas. Academic and competition achievements provide context; we connect that evidence to the work your team needs. The aim is to understand relevant experience in the context of your role, rather than rely on an AI job title.

Every search is led by a senior specialist, from brief to start date. Scope, fees and expectations are agreed before the search begins.

Experience behind the search

Before Corellia Talent, our founder placed a Staff Engineer into a Series B AI startup in San Francisco, and a researcher with an exceptional academic and competition record into a pre-seed startup.

These examples reflect our founder’s personal recruitment career, before founding Corellia Talent. Read about our founder’s background or explore the placement accounts.

Questions about the search