Aperaaiinc
Machine Learning Applied Scientist (Co-op)
Vancouver, British Columbia. Posted a month ago
The role
You will apply machine learning and computer vision techniques to real-world challenges like robotic part picking and localization. You will prototype, evaluate, and improve models deployed on factory floors.
What you will do
- Implement machine learning models for object detection, depth estimation, or 6-DoF pose estimation.
- Benchmark performance using internal datasets.
- Identify and prototype methods from recent ML or computer vision research.
- Adapt research to the application domain and evaluate against production baselines.
- Contribute improvements to the synthetic data generation pipeline.
- Review current training and validation tools.
- Work with robotics and software engineers to understand deployment requirements.
- Assist in diagnosing issues with model performance observed during robotic testing or simulation.
- Lead a focused initiative such as testing a new augmentation strategy or developing an evaluation tool.
- Support research on strategic vision problems like part occlusion.
Required qualifications
- Proficiency in Python and machine learning frameworks (e.g., PyTorch).
- Understanding of computer vision fundamentals (e.g., detection, segmentation, 3D geometry).
- Familiarity with model training, tuning, and evaluation workflows.
- Interest in robotics or applying ML in production-grade software.
Nice to have
- Experience with synthetic data generation or tools like Blender.
- Exposure to 6-DoF pose estimation, point cloud processing, or depth sensing.
- Experience working in Linux or Docker-based environments.
- Familiarity with AWS services used in ML development workflows (e.g., S3, EC2, SageMaker).
Before you apply
- Please ensure you upload both your resume and transcript, either combined into a single file or as separate files.
About the company
Apera is a Vancouver-based company at the forefront of robotics, AI, and machine vision. They help manufacturers make factories more flexible and productive using 4D Vision software.