Senior Machine Learning / Computer Vision Applied Scientist

About this role

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">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.</span></p></div><p> </p> <p data-start="89" data-end="331"><strong>Job Description:</strong></p> <p data-start="89" data-end="331">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.</p> <p data-start="333" data-end="822">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.</p> <p><span data-contrast="none">You will own projects end-to-end from literature review through prototyping, benchmarking, and scaling. This includes:</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="18" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Extending Apera’s industry best object detection, stereo depth estimation, and 6d pose estimation modules</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="18" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Integrating foundation models into our perception stack to improve generalization and few-shot/zero-shot capabilities</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="18" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Collaborating with the C++ application team to get models deployed and user experiences optimized</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="18" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Collaborating with the infrastructure team to train and manage data on AWS</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="18" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="none">Tracking the latest publications…