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Senior Machine Learning Engineer, AI Generation Engine

SandboxAQ· AI Generation Engine
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RemoteCA$140k - CA$210kFull-timePosted 4mo ago

About the role

Senior ML Engineer for the AI Generation Engine (SAIGE) team responsible for end-to-end ML lifecycle from data exploration and model development to scalable production deployment, building AI-first products that incorporate Large Quantitative Models and agentic frameworks.

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 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.

Qualifications

  • 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 PyTorch, TensorFlow, JAX, NumPy, Pandas)
  • Long, successful history of driving the full ML lifecycle from data exploration to production deployment
  • Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (Weights & Biases, MLflow), automated testing, and version control for code and datasets.

Skills

Required:Python programmingMLOpsML lifecycle management

Benefits

  • 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
  • Family Planning support (fertility, surrogacy, adoption) through Carrot
Last updated Aug 5, 2026. Interested? Apply on the company site.

About SandboxAQ

Transforming the World with AI and Advanced Computing

SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. SandboxAQ technologies include AI simulation, cryptography management for cybersecurity, and AI sensing for global organizations.

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