For our client, we are seeking a Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada to join the team of a leader in the Information Technology space.
This role will focus on developing and optimizing machine learning models that power advanced AI product features. You will work at the intersection of 3D data, computational geometry, and multimodal AI, helping transform experimental concepts into production-ready solutions. The position also involves partnering with cross-functional teams to improve model performance, reliability, and scalability across the full machine learning lifecycle.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $123,000 – $180,400 annually
Responsibilities
- Design and optimize machine learning models for AI product features
- Build and maintain scalable data pipelines for ML workflows
- Work with complex datasets for model training and evaluation
- Implement evaluation methodologies to measure model performance
- Collaborate to transform experimental ideas into production-ready solutions
- Establish MLOps workflows for model lifecycle management
- Analyze and improve model performance and reliability
Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or equivalent experience
- 5+ years of experience in machine learning solutions
- Expertise in the entire machine learning lifecycle, from research to production
- Proficiency in modern deep learning frameworks like PyTorch
- Experience with 3D data and computational geometry
- Hands-on experience with AI/GenAI tools for ML workflows
- Excellent communication skills, both written and verbal
Benefits
- Collaborative work with leading researchers and engineers
- Opportunities to innovate in AI-powered features
- Engagement with cutting-edge technologies and data
- Support for ongoing learning and development
- Dynamic and inclusive work environment
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.