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Senior Machine Learning / Computer Vision Applied Scientist

Aperaaiinc · Vancouver, British Columbia · 2026-06-15

executive
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About this role

We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we’ve been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech “Company of the Year – Growth”, we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera’s software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.

Job Description:

Robots can do amazing things - if they can see. That’s where you come in. We’re Apera AI. Our breakthrough 4D Vision™ systems turn blind robots into intelligent, adaptable workers. But that transformation doesn’t happen without great teams.

We are looking for a Senior Machine Learning and Computer Vision Applied Scientist with outstanding problem-solving skills to join our AI team. This is an in-person role based in our Vancouver office, where you will collaborate closely with a small group of ambitious engineers and applied scientists delivering the future of robotic perception. Your work will be both grounded in state-of-the-art research and applied to guiding industrial robots on factory floors around the world.

You will own projects end-to-end from literature review through prototyping, benchmarking, and scaling. This includes:

• Extending Apera’s industry best object detection, stereo depth estimation, and 6d pose estimation modules

• Integrating foundation models into our perception stack to improve generalization and few-shot/zero-shot capabilities

• Collaborating with the C++ application team to get models deployed and user experiences optimized

• Collaborating with the infrastructure team to train and manage data on AWS

• Tracking the latest publications…

Skills asked for

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