Senior Machine Learning Engineer, AI Generation Engine

Job Title: Senior Machine Learning Engineer, AI Generation Engine Company: SandboxAQ Job Category: Machine Learning Roles & Responsibilities: We are a global team that is tech\-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital\-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end\-to\-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI\-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting\-edge technologies being developed at SandboxAQ. Key Responsibilities * Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. * Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high\-level product objectives. * Contribute to the efforts in cleaning, transforming, and engineering features from complex and large\-scale datasets to optimize LQM performance and predictive accuracy. * Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper\-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. * Collaborate closely with AI researchers, product managers, and SWEs to translate high\-level business objectives into actionable ML development and deployment roadmaps. * Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment. Highly Desired Skills \& Experience * MS or PhD in Software Engineering, Computer Science or equivalent experience * Financial simulation or technical experience, risk simulation * Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross\-collaboratively across multiple teams and organizations * Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS) Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Work Location: Canada Availability: Full time

Essential Skills \& Experience * BS in Software Engineering, Computer Science, or equivalent field of study * 5\+ years of postgraduate experience in software development * Experience developing highly\-available, performant, scalable ML systems, including large\-scale data processing pipelines. * Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas) * Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment. * Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights \& Biases, MLflow), automated testing, and version control for both code and datasets. Read: Guidance for candidates on using AI Tools in interviews Compensation Range: CA$119K \- CA$210K Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Pandas, NumPy, Model Training Salary: CAD 119000 - 210000 per yearly