Mecka.Ai
Technical Recruiter
Toronto GTA, Remote. Posted 22 days ago
The role
You will lead full-cycle recruiting efforts for technical teams including Engineering, Machine Learning, Computer Vision, and Robotics. You will build AI tools, source candidates through AI and research, and partner with hiring managers to build talent pipelines.
What you will do
- Lead full-cycle recruiting efforts across Engineering, Machine Learning, Computer Vision, Robotics and other specialized technical roles.
- Directly source exceptional candidates through AI, original research, targeted sourcing and long-term relationship building.
- Utilize pipeline data and market intelligence to advise the business on best practices.
- Partner closely with hiring managers.
- Build and nurture talent pipelines.
- Build trusted relationships with research labs, universities and across technical communities.
- Move fast while maintaining a high hiring bar and a strong candidate experience.
- Build AI tools, recruiting systems, operations and practices for scale.
Required qualifications
- Full-cycle technical recruiting experience at high growth technology companies with a focus on delivering top talent for Engineering, Research, Robotics, Machine Learning, Computer Vision and Physical
- Strong experience building AI agents, automations and workflows for recruiting.
- Experience managing a high volume desk for hard to fill roles at a hyper growth startup/scale-up.
- Strong talent sourcing skills.
- Ability to engage deeply technical candidates and hiring managers.
- Creative problem solving skills.
- Ability to influence.
- Ability to thrive under pressure.
- Strong ability to excel in rapidly evolving ambiguous environments.
- Courage, wisdom and a high level of ownership.
Nice to have
- Familiarity with the talent emerging from conferences and communities such as CVPR, NeurIPS, CoRL, RSS or ICRA.
- Experience with Ashby and modern sourcing & talent-intelligence tools.
About the company
Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies.