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
- Strong 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.
Senior Machine Learning Engineer SAIGE in Ottawa employer: Entangled Future
At SandboxAQ, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our AI Generation Engine team. Our remote work culture promotes flexibility and work-life balance, while our comprehensive benefits package supports your health and financial well-being. As a member of our diverse team, you'll have the opportunity to lead cutting-edge projects, drive your professional growth, and contribute to meaningful advancements in AI technology.
