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Senior Staff Machine Learning Engineer, (ML Underwriting)

1 day, 19 hours ago
Canada
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Spark Feature Engineering Kubeflow MLflow Python PyTorch Transformers XGBoost
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Diversified Financial Services
1K-5K
Founded 2012
View All Jobs 153

Description

  • Define and drive multi-year, multi-team machine learning strategy aligned with company priorities.
  • Lead the design, implementation, and scaling of advanced ML systems for complex cross-functional initiatives.
  • Partner with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities and infrastructure.
  • Provide technical leadership across the ML organization by mentoring senior engineers and raising design and code quality.
  • Drive clarity and alignment on ambiguous, high-stakes technical decisions across teams.
  • Own the long-term health, availability, testing, monitoring, and reliability of critical ML systems.
  • Contribute to documentation, talks, and cross-org guidance to spread ML expertise.
  • Influence architectural direction and system evolution for next-generation ML workloads.

Requirements

  • 10+ years of experience researching, designing, deploying, and operating large-scale real-time machine learning systems; relevant PhD can count for up to 2 years of experience.
  • Experience leading end-to-end ML system design, including data architecture, feature pipelines, model training, evaluation, and production deployment.
  • Experience with distributed frameworks such as Spark, Ray, or similar large-scale data processing systems.
  • Proficiency in Python and ML frameworks such as PyTorch and XGBoost.
  • Experience with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent platforms.
  • Strong understanding of representation learning and embedding-based modeling.
  • Deep expertise in neural network-based sequence modeling, including Transformers, recurrent, or attention-based models, and multi-task learning.
  • Hands-on experience with large-scale distributed ML infrastructure, including streaming or batch ingestion, feature stores, feature engineering, training pipelines, model serving, inference, monitoring, and automated retraining.
  • Strong technical leadership, judgment, collaboration, and communication skills, with experience aligning work across teams and mentoring senior engineers.
  • Equivalent practical experience or a Bachelor’s degree in a related field.

Benefits

  • Remote-first work environment with the ability to work almost anywhere within the country of employment.
  • Base salary range of CAD $206,000 to $256,000 per year.
  • 100% subsidized medical coverage, including dental and vision for you and your dependents.
  • Monthly stipends for health, wellness, and tech spending.
  • Flexible Spending Wallets for technology, food, lifestyle needs, and family-forming expenses.
  • Competitive vacation and holiday schedules.
  • Employee stock purchase plan (ESPP) with shares available at a discount.
  • Reasonable accommodations available during the hiring process for candidates who need support.

Interested in this position?

Apply directly on the company website

Apply Now

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