Machine Learning Engineer II developing production ML models for Affirm’s pay - over - time platform. Building credit decisioning systems, scalable pipelines, and algorithms that predict default and guide approvals.
About the role
- Machine Learning Engineer developing and deploying computer vision models for Invision AI’s 3D digital-twin platform. Optimizing ML systems for real-world edge devices and transportation applications.
Responsibilities
- Recommend, develop, evaluate, and deploy ML models across product lines
- Build and improve data-labeling, training, and evaluation pipelines
- Establish evaluation methods connecting model performance to product and business outcomes
- Prototype new product capabilities using appropriate technologies
- Optimize models for latency, memory usage, power consumption, and accuracy on edge devices
- Diagnose and resolve issues affecting deployed models
- Monitor production performance and identify model drift, data-quality problems, and retraining needs
- Write maintainable, well-tested code and clear technical documentation
- Participate in design reviews, code reviews, and technical planning
- Share ML knowledge and collaborate with software, product, and other engineering teams
Requirements
- A track record of developing and deploying production computer vision models
- Strong Python software development skills
- Proficiency with frameworks such as PyTorch, TensorFlow and scikit-learn
- Practical knowledge of CNNs and modern computer vision architectures
- The ability to adapt open-source models to specific products and use cases
- Hands-on work optimizing models for resource-constrained or edge environments
- Knowledge of experiment tracking, dataset versioning, and ML observability
- Skill in designing evaluation metrics that reflect product and business requirements
- An understanding of model monitoring and production troubleshooting
- Working knowledge of embedded systems and their constraints
- Sound software engineering practices, including automated testing, code review, version control, and continuous integration
- Strong written and verbal communication skills
- Must be legally entitled to work in Canada
- Familiarity with Docker or other container technologies
- C++ development skills
- GPU programming or performance-optimization knowledge
- Knowledge of model compression techniques, including quantization, pruning, and knowledge distillation
- Familiarity with edge inference tools such as ONNX Runtime, TensorRT
- Familiarity with traditional, non-ML image-processing techniques
- A background in sensor fusion or geospatial data
Benefits
- The opportunity to work on projects that make the world safer and greener
- A culture of very high technical standards where quality engineering is valued over quick hacks
- A wide variety of technology and tasks, including web development, distributed and edge computing, ML, real-time processing, and computer vision
- Join an international team where your voice is heard and your impact is visible
- Competitive salary package including equity
- RRSP Plan
- Health and Dental
- 4 weeks holiday
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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