Senior Machine Learning Engineer, AI Generation Engine

SandboxAQ · Remote · Canada ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote
  • Python + PyTorch
  • MLOps focus
  • Equity offered

Join the SAIGE team as a founding engineer to bridge cutting-edge AI concepts with functional products. You will drive the rapid iteration, development, and production deployment of Large Quantitative Models and agentic frameworks.

This position requires hands-on expertise in managing the full model lifecycle, from data curation to scalable infrastructure. You will collaborate with researchers and software engineers to deliver high-impact AI solutions across various sectors.

What you'll do

  • Design and manage robust data pipelines for training and retraining LQMs
  • Develop and test novel ML models aligned with product objectives
  • Clean and engineer features from complex large-scale datasets
  • Analyze model behavior and optimize architecture for production efficiency
  • Collaborate with cross-functional teams to define ML roadmaps
  • Enforce engineering standards for code quality and security

What you'll need

  • BS in Software Engineering, Computer Science, or equivalent field
  • 5+ years of postgraduate experience in software development
  • Experience building scalable, highly-available ML systems
  • Strong expertise in Python and libraries like PyTorch or TensorFlow
  • Proven track record managing the full ML lifecycle to production
  • Proficiency in MLOps, CI/CD, and experiment tracking tools

Nice to have

  • MS or PhD in relevant technical field
  • Experience in financial or risk simulation
  • Tech leadership experience in complex spaces
  • Background in scalable cloud development on GCP or AWS

Stack

  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • NumPy
  • Pandas
  • Weights & Biases
  • MLflow
  • GCP
  • AWS

What you get

  • Competitive salary, equity, and annual bonus
  • 401k matching up to IRS maximum
  • Unlimited PTO plus summer and winter breaks
  • 12 weeks paid parental leave (US)
  • $750 budget for equipment and furniture
  • Wellness and home office stipends
  • Medical, dental, and vision insurance with 95% coverage
  • Family planning support via Carrot