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Senior Machine Learning / Computer Vision Applied Scientist

Apera AI
Vancouver, British Columbia, Canada
Full-time
16,000,000 – 18,000,000 / year
AI tools:
PyTorch
Applications go directly to the hiring team

Full Description

About Us:

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 in top computer vision and robotics venues

* Prototyping and then implementing production training and deployment, mainly in PyTorch

* Optimizing models for real-time deployment at the edge (~1 Hz, powerful NVIDIA GPU) to support high accuracy, high robustness robot guidance

* Engineering for industrial reliability of 99.9%

About you:

You are motivated, talented, hardworking and have an entrepreneurial spirit. You enjoy making large impact at your company. You enjoy solving challenging problems rooted in real-world physics using science, imagination, creativity, and persistence.

What We’re Looking For:

* STEM bachelor's degree

* 5+ years of experience in using deep learning for CV

* 4+ years of experience in software development

Bonus:

* Master’s or PHD degree with focus on computer vision and machine learning

* Experience in 3D geometry and related topics in graphics and deep learning

Why Apera?

* We offer a competitive compensation package, including a base salary range of CAD $160,000–$180,000 plus stock options, designed to recognize your expertise and align your success with the company’s growth.

* You’re building systems that support teams working on real, deployed AI and robotics solutions, not hypothetical future tech.

* A chance to do meaningful, foundational work in a company that values execution and clarity.

* A culture of curiosity: we experiment, learn fast, and share openly.

* Well-funded with a recent Series A to fuel ambitious product roadmaps and growth.

* Trusted by big-name automotive in TIER 1 suppliers.

* High-impact work with autonomy and clear paths to grow.

Join us to make robotics more accessible, predictable, and powerful.

Applications go to the hiring team directly