
Senior Machine Learning Developer, 3D Geometry, Multimodal AI
Posted Jul 28

Posted Jul 28
This is a fully remote position, open to applicants in Canada.
• Design, develop, and enhance machine learning models for AI-driven product features that involve 3D geometry, multimodal AI, and generative AI.
• Create and sustain scalable data pipelines and machine learning workflows for tasks such as data preparation, model training, evaluation, and inference.
• Work with intricate datasets and representations to facilitate model training, evaluation, and analysis.
• Develop and execute evaluation methodologies, benchmarks, and experiments to assess model performance, robustness, and quality.
• Collaborate with researchers and developers to convert experimental concepts into scalable, production-ready product functionalities.
• Establish and manage MLOps workflows that support model versioning, deployment, monitoring, and ongoing enhancement.
• Evaluate model performance, recognize failure modes, and implement enhancements to improve model accuracy, reliability, and efficiency.
• Document and share technical designs, experimental outcomes, and findings with collaborators and leadership.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or comparable industry experience.
• Over 5 years of professional experience in developing machine learning solutions.
• Proven experience throughout the machine learning lifecycle, encompassing research, data pipelines, model training, evaluation, MLOps, and production deployment.
• Familiarity with research or experimental settings that have changing requirements.
• Proficient in modern deep learning frameworks (e.g., PyTorch, Hugging Face).
• Experience with computational geometry and 3D data (e.g., meshes, B-Rep models).
• Skilled in working with complex data representations, including 2D and 3D geometry.
• Experience in version control, reproducibility, and deploying machine learning models.
• Hands-on experience leveraging modern AI/GenAI tools to enhance software development, experimentation, or machine learning workflows.
• Exceptional written and verbal communication skills.
• Annual cash bonuses.
• Commissions for sales roles.
• Stock grants.
• Comprehensive benefits package.
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