
Machine Learning Engineer, 3D Geometry, Multimodal AI
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in Canada.
• Create, develop, and enhance machine learning models for AI-driven product functionalities that involve 3D geometry, multimodal AI, and generative AI.
• Construct and sustain scalable data pipelines and machine learning processes for data preparation, model training, evaluation, and inference.
• Handle intricate datasets and representations for the purposes of model training, evaluation, and analysis.
• Design and execute evaluation methods, benchmarks, and experiments to assess model performance, robustness, and quality.
• Collaborate with researchers and engineers to convert experimental concepts into scalable, production-ready product features.
• Develop and manage MLOps workflows that support model versioning, deployment, monitoring, and ongoing enhancement.
• Evaluate model performance, detect failure modes, and implement enhancements to improve model accuracy, reliability, and efficiency.
• Document and communicate technical designs, experimental outcomes, and findings to team members and leadership.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent professional experience.
• Over 5 years of relevant experience in developing machine learning solutions.
• Familiarity with the entire machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment.
• Experience in research or experimental settings with changing requirements.
• Proficiency in contemporary deep learning frameworks (e.g., PyTorch, Hugging Face).
• Background in computational geometry and 3D data (e.g., meshes, B-Rep models).
• Experience working with complex data representations, including both 2D and 3D geometry.
• Knowledge of version control, reproducibility, and deploying machine learning models.
• Practical experience utilizing modern AI/GenAI tools to enhance software development, experimentation, or machine learning workflows.
• Strong written and verbal communication abilities.
• Annual cash bonuses.
• Commissions for sales positions.
• Stock grants.
• Comprehensive benefits package.
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