5 months ago
Toronto, CanadaSenior
Responsibilities
- Design, construct, 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 while tuning hyperparameters and optimizing model 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 prototyping environment.
Requirements
- Bachelor’s degree in Software Engineering, Computer Science, or an equivalent field of study.
- At least five 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 experience with PyTorch, TensorFlow, JAX, NumPy, and Pandas.
- Successful experience driving 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 experiment tracking, automated testing, and version control for code and datasets.
- Preferred: MS or PhD in Software Engineering, Computer Science, or equivalent experience.
- Preferred: financial simulation, risk simulation, or related technical experience.
- Preferred: technical leadership in complex environments and cross-organizational technical design and execution.
- Preferred: scalable software development on cloud computing platforms such as GCP or AWS.
Benefits
- Competitive salary, equity, and annual bonus.
- 401(k) matching at 50% up to the IRS maximum contribution.
- Unlimited paid time off plus one-week summer and winter breaks.
- Twelve weeks of fully paid parental leave in the US, with an additional eight weeks for birthing parents.
- $750 equipment, software, and office furniture budget.
- $100 per month for wellness and $100 per month for home office bills.
- Medical, dental, and vision insurance for employees and dependents, with 95% of employee premiums covered.
- Family planning support for fertility, surrogacy, and adoption through Carrot.
Tech Stack
Categories
Data EngineeringML Engineering
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.