Machine Learning Engineer

Job Description

Job Description

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.

Apera AI is building the future of robotics and AI right here in Vancouver.

Let's End Robot Blindness

Robots can do amazing things, if they can see. That's where you come in.

We're Apera AI. Our breakthrough vision systems turn blind robots into intelligent, adaptable workers. But that transformation doesn't happen without people, especially the ones who teach robots how to learn from data and see the world clearly.

We're looking for a Machine Learning Engineer - Synthetic Data & Training Pipeline to build the systems that connect data quality to model performance. Someone who thrives on experimentation, automation, and impact, turning messy data into intelligence that works on real factory floors.

This is an engineering-first role, not pure research, not isolated modeling. You'll design scalable data pipelines, automate training, and make sure our models trained in simulation succeed in the real world.

What You'll Actually Do

• Build and scale synthetic data generation pipelines that feed our 4D vision models.
• Design and automate ML workflows for data processing, training, and evaluation.
• Experiment with new augmentation and domain adaptation techniques that boost model robustness.
• Collaborate with applied scientists, simulation engineers, and artists to bring data-driven ideas to life.
• Create internal tools for dataset tracking, experiment reproducibility, and training diagnostics.
• Continuously improve - apply AI-driven analytics to optimize data, accelerate iteration, and strengthen model reliability.

Why This is a Career Move (Not Just a Job)

At Apera, we don't just build robots, we build the intelligence that lets them see, adapt, and perform.

Here's what makes this role special :

What We're Looking For

Bonus points if you have :

Why Apera?

At Apera AI, every employee owns equity, because those who build the future should share in its upside. Join us to make robotics more accessible, predictable, and powerful.