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Mecka

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Mecka is the data and deployment layer for Physical AI.

Data Infrastructure and Analytics
51–200 people

About

Mecka AI is the robotics data and infrastructure company powering the next generation of physical AI.

Open positions

Online Calibration & SLAM Engineer

On-site · Richmond Hill

You will own the online calibration systems for a fleet of robotics devices, ensuring camera and IMU accuracy through continuous refinement. You will also build monitoring tools to detect calibration drift and coordinate with hardware teams to maintain system integrity.

Research Scientist – Full Body Motion

On-site · Richmond Hill

You will develop full-body motion priors and physics-based tracking models to enable accurate, physically consistent human pose estimation from egocentric data. This involves defining metrics for lower-body and contact estimation, commissioning data captures, and integrating your models into production workflows.

Research Scientist – Neural 3D Objects

On-site · Richmond Hill

You will own the architecture for generating 3D objects from egocentric video, focusing on reconstructing geometry for simulatable assets. This involves developing models robust to occlusion and deformation while collaborating with the integrations team to transition research into production.

Research Scientist – Computer Vision (3D Environment Reconstruction)

Hybrid · Richmond Hill

You will architect and train proprietary 3D reconstruction pipelines to transform multi-modal data into photorealistic digital environments. Additionally, you will integrate these spatial assets into robotics pipelines and optimize them for high-framerate rendering in client-facing viewers.

Head of Legal & Compliance

On-site · Richmond Hill

The Head of Legal & Compliance will own the privacy, commercial, employment, and regulatory operating layer across Canada, the US, and China. This role involves managing data licensing, customer agreements, employment contracts, and building practical compliance systems for a robotics and AI company.

Software Engineer, Payments and Revenue

On-site · Richmond Hill

Build and operate payment, payout, billing, reconciliation, and revenue-recognition infrastructure, including integrations with payment providers, banks, payroll platforms, and accounting systems. Partner with finance and operations to automate manual workflows while ensuring financial systems are reliable, auditable, secure, and recoverable.

Research Scientist – Computer Vision (Body Pose Detection)

Hybrid · Richmond Hill

Architect and train proprietary foundation models for 3D human body tracking and articulated pose estimation. Develop robust interaction models for complex real-world environments to support embodied AI and robotics systems.

Global Payroll & Benefits Manager

Hybrid · Richmond Hill

Own end-to-end payroll and benefits operations for employees in Canada and the United States, including payroll processing, tax filings, benefits administration, reconciliations, vendor relationships, and employee support. Maintain accurate, secure, and audit-ready systems and processes while improving operations and preparing the company to expand into additional countries.

Technical Recruiter, AI & Robotics

Hybrid · Richmond Hill

Lead full-cycle technical recruiting for specialized roles in robotics, machine learning, and computer vision. Build and maintain long-term talent pipelines while partnering with hiring managers to define needs and manage the end-to-end interview process.

Future Opportunities at Mecka

On-site · Richmond Hill

Candidates will contribute to building data infrastructure for robotics and embodied AI systems. Responsibilities involve supporting various departments including engineering, research, operations, and sales as the company scales.

Calibration Engineer, Camera & Sensors

On-site · Markham

The Calibration Engineer will own the entire calibration pipeline, including camera intrinsics, IMU alignment, and factory calibration infrastructure. They are responsible for building and maintaining calibration tooling, fixtures, and automated quality assurance systems to ensure production-quality data.

Full-Stack Engineer, ML Tooling and Infrastructure

Hybrid · Markham

You will own the internal annotation platform and develop critical ML infrastructure to support the Computer Vision Machine Learning team. This includes building data pipelines, optimizing inference services, and creating tools for quality measurement and PII detection.