Highly technical hires who fit the culture
Voxel, San Francisco
Computer Vision, Physical AI
Computer Vision and ML Engineers
Embedded Talent
The problem
Voxel turns existing security cameras into a safety system for warehouses and manufacturing sites, spotting risks on the floor as they happen. Growing that product meant hiring computer vision engineers who could ship models to real sites, and the pool of people who have done that is small and heavily courted. Melica worked as part of Voxel's team, joining stand-ups with the engineering leads and representing the company directly to candidates. That meant she could explain the product, the deployment challenges and the culture the way an insider would. She searched for engineers who had taken models out of the lab and into messy, real environments: robotics, autonomous vehicles, retail analytics. Every shortlist came with a short write-up on each candidate's technical depth and why they would suit the team.
Voxel, San Francisco
Computer Vision, Physical AI
Computer Vision and ML Engineers
Embedded Talent
The outcome
Four engineers hired over five months, each one matched to the team they joined, and the hiring managers spent their time on final interviews instead of sourcing.
5mo
It's been an absolute pleasure working with Melica at Voxel. Her ability to understand our company's culture, identify highly technical candidates, and match us with the right talent is remarkable. Her approach is personalized, professional, and incredibly effective. Melica has a real gift for matching the right people with the right roles, and it's made a huge difference for us. I can't recommend her enough!
Voxel
Questions this search answers
What is an embedded hiring partnership?
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Melica works as part of the client's team for a set period, running the hiring for several roles as if she were an internal recruiter, with the network and focus of a specialist search firm.
Can you hire computer vision engineers who have shipped to real sites?
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Yes. This search looked for engineers who had deployed models into robotics, autonomous vehicles and other physical environments, where lighting, cameras and edge hardware all fight back.
How many hires came from this partnership?
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Four engineers in five months.