Edge ML Engineer– Computer Vision

About the role

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. You'll put advanced computer vision into the hardware that captures experience for robot learning. You'll train models, make them run on embedded devices, and carry their accuracy from controlled evaluation into real operating conditions, all within strict limits on latency, memory, and power. The role can include technical leadership of model development and deployment, and either way you'll be directly responsible for implementation and evaluation.

Responsibilities

• Train and evaluate computer-vision models for deployment on embedded devices.
• Build efficient C++ inference pipelines and integrate them with embedded Linux software.
• Optimize models and runtime performance for latency, memory, power consumption, and sustained operation.
• Test performance on representative data and hardware, and investigate errors across preprocessing, inference, and integration.
• For the lead position: set architecture and evaluation standards while continuing to develop models and software.

Requirements

• Strong Python and C++ programming skills, including debugging and performance profiling.
• Experience training and evaluating computer-vision models with a framework such as PyTorch.
• Experience developing on embedded Linux and deploying models on resource-constrained hardware.
• Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs.
• Ability to evaluate accuracy, false positives, and missed detections across changing lighting, motion, and operating conditions.
• For the lead position: experience making architecture decisions and guiding engineers through model development and deployment.

Skills

• Experience with accelerator runtimes, custom operators, or camera and video pipelines.
• Experience with dataset curation and rigorous evaluation of computer-vision models.

Pay

Compensation Range: CA$170K - CA$190K