Build AI-first products remotely across Canada with SandboxAQ as a Senior Machine Learning Engineer focused on Python and model deployment.
The senior-level SAIGE engineer owns machine learning from data exploration through production. You will develop LQMs, agentic frameworks, scalable pipelines, and evaluations while rapidly testing practical solutions. Collaboration spans researchers, software engineers, product managers, and user experience researchers.
Key Responsibilities:
Design data pipelines for LQM training, validation, and retraining
Develop and test novel machine learning models and algorithms
Engineer features from complex, large-scale datasets
Analyze failures and optimize model architecture and hyperparameters
Translate objectives into ML development and deployment roadmaps
Requirements:
Five-plus years of postgraduate software development experience
Robust Python expertise with PyTorch, TensorFlow, JAX, NumPy, and Pandas
Experience building highly available, scalable ML systems
Full ML lifecycle experience through production deployment
Proficiency in MLOps, CI/CD, experiment tracking, testing, and version control
Apply machine learning engineering, Python, and MLOps expertise to advance SandboxAQ’s SAIGE products from experimentation into production.