Sobre el empleo
About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Lead the creation of a measurement approach for an AI system that carries out technical design work. Draw on both hands-on engineering judgment and evaluation know-how, and collaborate with domain experts and other teams to convert findings into clear improvement priorities.
What you'll do
- Establish a new assessment framework that defines quality for design work where several answers can be valid.
- Collaborate with domain experts, external users and internal teams to see how seasoned engineers operate and where the system struggles.
- Reproduce realistic design tasks and typical failure cases in repeatable test setups that developers can run again.
- Create and tune automated graders alongside human review processes, and confirm that the graders agree with expert opinion.
- Convert assessment results into a ranked list of improvements to the system's reasoning.
Requirements
What we're looking for
- About five or more years of professional experience in hardware engineering, AI, or a blend of both, with depth in one and practical familiarity with the other.
- Substantial hands-on background assessing AI systems, including authoring test tasks, building automated graders and benchmarking them against human review.
- Solid grasp of how autonomous, agent-style AI systems behave.
- Grounding in a hardware engineering field, enough to tell sound design from weak design.
- Comfort working directly with external users, specialists, partners and technical colleagues across functions.
- Self-assurance to guide work among many stakeholders in a role with high ownership.
- Based in the US or Canada, and able to travel to an office for one week every 6 weeks.
Bonus points
- Prior time at a robotics or physical AI company.
- Experience building things from zero in an early-stage startup.
Benefits
Compensation and benefits
- Base salary: USD 200,000 to 300,000 per year
- Equity
Location and work model
- Remote (US or Canada)
- Full-time