Machine Learning Engineer 3D Geometry & Multimodal AI
LaddersAbout the role
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.
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
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.