5 months ago
Toronto, CanadaStaff+
Base Salary
$157k - $294k/yr
Responsibilities
- Design and manage robust data pipelines for training, validation, and continuous retraining of Large Quantitative Models and agentic frameworks.
- Develop, implement, and rigorously test ML models and algorithms while defining metrics aligned with product objectives.
- Clean, transform, and engineer features from complex large-scale datasets to improve model performance and predictive accuracy.
- Analyze model behavior, performance, and failure modes, and tune hyperparameters and architectures for production efficiency, speed, and accuracy.
- Collaborate with AI researchers, product managers, and software engineers to translate business objectives into ML development and deployment roadmaps.
- Enforce high standards for code quality, system efficiency, and security in a rapid prototyping environment.
- Drive technical execution autonomously and make critical design and implementation decisions.
Requirements
- Bachelor’s degree in Software Engineering, Computer Science, or an equivalent field of study.
- At least 8 years of postgraduate software development experience.
- Experience developing highly available, performant, and scalable ML systems, including large-scale data processing pipelines.
- Strong Python expertise and proficiency with PyTorch, TensorFlow, JAX, NumPy, and Pandas.
- Successful experience owning the full ML lifecycle from data exploration and hypothesis testing through architecture, training, evaluation, and production deployment.
- Deep proficiency in MLOps and software engineering practices, including ML CI/CD, experiment tracking, automated testing, and version control for code and datasets.
- A master’s or PhD, financial or risk simulation experience, technical leadership across complex organizations, and cloud development experience are highly desired.
Benefits
- Comprehensive medical, dental, and vision coverage for employees and dependents with employer premium contributions.
- Retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
- Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements.
- Career development through on-the-job learning, cross-functional collaboration, and internal learning programs.
Tech Stack
Categories
About SandboxAQ
SandboxAQ builds enterprise software that combines AI with quantum technologies for use cases such as cryptography and cybersecurity, molecular simulation in life sciences, and navigation via quantum sensing. It sells B2B platforms and services, including crypto-agility and post-quantum security offerings, to customers in regulated and research-heavy sectors. Founded in 2021 and headquartered in Palo Alto, the company emerged from Alphabet as an independent entity in 2022.