SandboxAQ
Senior Machine Learning Engineer, AI Generation Engine
Canada · Senior
Sponsorship not specifiedDetected 55 days ago
PythonAlgorithmsAWSGCPCI/CDMachine LearningTensorFlowPyTorchPandasNumPyData EngineeringMLOpsA/B TestingTest AutomationEpicLeadershipCollaboration
About the role
- 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.
- We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development.
- This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs.
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.
- Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.
- 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
- 5+ 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)
- Competitive salary, equity and annual bonus
- 401k matching at 50% up to IRS maximum contribution
- Unlimited PTO plus a summer and winter break (one week each)
- Twelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents
- $750 equipment, software, and office furniture budget
- $100 per month for wellness (physical or mental) and $100 for home office bills
- Top-notch medical, dental and vision insurance for you and your dependents with all premiums covered at 95% for employees
Compensation
- Competitive salary, equity and annual bonus
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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