Technical Recruiter

Posted 2 Days Ago
Be an Early Applicant
Toronto, ON, CAN
Hybrid
115K-140K Annually
Entry level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Own full-cycle technical recruiting for engineering, machine learning, computer vision, robotics, and research roles. Source specialized candidates, build talent pipelines, advise hiring managers, and develop relationships with technical communities. Create AI agents, automations, recruiting systems, and scalable workflows to improve sourcing and engagement. Manage high-volume hiring in a fast-moving startup environment while maintaining a high hiring bar and strong candidate experience.
Summary Generated by Built In
About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

Help us build the team building physical AI

Mecka is building the data engine that helps robots understand and operate in the physical world. That requires an extraordinary team spanning software, infrastructure, machine learning, computer vision, robotics and research.

In this role you will own the full recruitment lifecycle across our technical teams and make an impact. Partnering closely with with the Talent & People team, hiring managers and leaders throughout the organization you will move with a sense of urgency helping us build world class engineering, robotics and computer vision teams. You’ll map specialized talent markets & pipelines, build relationships, influence and be a trusted advisor.

We’re not looking for a recruiter who only uses AI tools, we want someone who builds them too! You’ll design and run AI agents that source, enrich, and engage candidates, so one person can do what usually takes a team of five.

What You’ll 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. Influence where necessary.

  • Build and nurture talent pipelines. Build trusted relationships with research labs, universities and across robotics, computer vision and other 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.

What you bring
  • 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 AI.

  • 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 and ability thrive under pressure.

  • Strong ability to excel in rapidly evolving ambiguous environments.

  • Courage, wisdom and a high level of ownership: you identify obstacles, propose solutions and keep the process moving.

Even better if you 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.

Why Mecka

You’ll have direct access to the leaders making hiring decisions, ownership over some of our most important searches, and the opportunity to build a technical talent network—not simply fill requisitions.

The hiring bar is high. The pace is fast. The people you bring in will directly shape what Mecka becomes and we have super high ambitions. If you do too - you may be the perfect fit!

If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

Skills Required

  • Full-cycle technical recruiting experience at high-growth technology companies
  • Experience recruiting for engineering, research, robotics, machine learning, computer vision, or physical AI roles
  • Experience building AI agents, automations, and workflows for recruiting
  • Experience managing a high-volume desk for hard-to-fill roles at a hypergrowth startup or scale-up
  • Strong talent sourcing skills
  • Ability to engage deeply technical candidates and hiring managers
  • Creative problem-solving skills
  • Ability to influence and thrive under pressure
  • Ability to excel in rapidly evolving, ambiguous environments
  • High ownership and ability to identify obstacles, propose solutions, and keep processes moving
  • Familiarity with talent from CVPR, NeurIPS, CoRL, RSS, or ICRA communities
  • Experience with Ashby and modern sourcing and talent-intelligence tools
Am I A Good Fit?
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The Company
58 Employees
Year Founded: 2024

What We Do

Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.

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