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Staff Machine Learning Engineer

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Staff Machine Learning Engineer in Canada new

  • OpenTable
  • Full time
  • Email
  • Toronto

Responsibilities

  • Set technical direction for model serving, deployment, monitoring, architecture, engineering patterns, and production tradeoffs.
  • Build and operate high-throughput, low-latency, observable production ML services.
  • Establish engineering standards for testing, CI/CD, observability, alerting, rollback, and on-call practices.
  • Own MLOps capabilities including model and feature monitoring, drift and data-quality detection, retraining, promotion workflows, versioning, safe rollout, and incident response.
  • Lead multi-quarter projects and influence engineering decisions across teams and stakeholders.
  • Scope and prioritize ambiguous cross-team problems with Product Managers and other stakeholders.
  • Develop capabilities for AI agents, recommendations, predictive models, multimodal restaurant-content understanding, and partner business insights.

Requirements

  • 7+ years of professional software engineering experience, including substantial experience building and operating machine learning systems in production.
  • Experience working across more than one organization and applying industry-standard ML system architectures and operating practices.
  • Hands-on experience with AWS, GCP, or Azure as a primary model-serving environment, including managed deployment, scaling, and observability services.
  • Strong fundamentals in distributed systems, service and API design, concurrency, latency and throughput tradeoffs, testing, and production ownership with on-call responsibility.
  • Strong command of Python and proficiency in at least one strongly typed language, preferably Java.
  • Demonstrated experience training, serving, and deploying ML models at production scale.
  • Experience with production MLOps, including monitoring, data-quality detection, retraining, promotion, versioning, rollout, rollback, and incident response.
  • Track record of technical leadership across multi-quarter projects and cross-functional stakeholders.
  • Preferred experience serving LLMs in production, including inference infrastructure, GPU utilization, batching, caching, quantization, and latency-cost optimization.
  • Preferred applied ML experience in ranking, recommendations, classification, NLP, RAG, or agentic systems.
  • Preferred Kubernetes experience at meaningful production scale.
  • Preferred experience developing ETL jobs, especially with Spark, or data warehouse infrastructure.
  • Preferred familiarity with A/B testing design and analysis and with introducing tooling or platform capabilities and driving adoption.

Benefits

  • Hybrid workplace with an expectation of working in the office two days per week.
  • Work from almost anywhere for up to 20 days per year.
  • Company-paid therapy sessions through SpringHealth and a company-paid Headspace subscription.
  • Annual company-wide week off.
  • Paid parental leave, generous paid vacation, birthday time off, 20 days of paid time off, and paid volunteer time.
  • Development Dollars, leadership development, and access to thousands of on-demand e-learning courses.
  • Travel discounts, Employee Resource Groups, private health and dental insurance, life and disability insurance.
  • Health benefits, flexible spending account, retirement benefits, paid sick, medical, bereavement, floating and company holidays, and potential annual bonus and equity eligibility.

OpenTable

OpenTable is a restaurant technology and dining platform that connects diners with restaurants while helping hospitality businesses manage reservations, streamline operations, and grow their customer base. As part of Booking Holdings, the company serves a global network of restaurants, bars, and ...

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