SandboxAQ
Staff Machine Learning Engineer, AI Generation Engine
Canada · Staff+
Sponsorship not specifiedDetected 55 days ago
PythonAlgorithmsAWSGCPCI/CDMachine LearningTensorFlowPyTorchPandasNumPyData EngineeringMLOpsA/B TestingTest AutomationEpicResearchLeadershipCollaboration
About the role
- The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ's Large Quantitative Models (LQMs) and emerging agentic frameworks.
- The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company.
- 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.
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.
- Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy.
- Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.
- Drive technical execution with high autonomy, making critical design and implementation decisions independently
- Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines.
Requirements
- 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.
Skills
- BS in Software Engineering, Computer Science, or equivalent field of study
- 8+ years of postgraduate experience in software development
- MS or PhD in Software Engineering, Computer Science or equivalent experience
- Financial simulation or technical experience, risk simulation
- Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS)
- SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges.
Compensation
- Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits
- Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
- Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
Company info
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
- We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
- Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
- We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development.
Equal opportunity
- All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
- 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.
- Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Visa & Work Authorization
- ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
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This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.