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6 дней назад

Senior Machine Learning Engineer (AI)

156 000 - 234 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI): Building and operating high-throughput model-serving infrastructure for traditional ML models, open-weight LLMs, and Workday AI agents with an accent on Kubernetes, GPU resource management, scalability, and reliability. Focus on designing distributed systems, optimizing inference performance and cost, and resolving complex production issues across large-scale Ray Serve clusters.

Location: Vancouver, British Columbia, Canada, with additional locations in Boulder, Colorado, USA. Flex work requires spending at least 50% of each quarter in the office or in the field.

Annual base salary: CAD $156,000–$234,000 in Vancouver; USD $163,000–$288,000 in additional US locations. Colorado range: USD $171,600–$257,400.

Company

hirify.global is a Fortune 500 company providing an AI platform for managing people, money, and business operations.

What you will do

  • Lead technical decisions for the AI Model Serving platform, improving performance, reliability, and scalability.
  • Design, implement, and maintain large-scale systems for moving machine learning models into production.
  • Build infrastructure for hosting and tuning open-weight large language models and supporting hirify.global AI agents.
  • Improve continuous integration pipelines, observability, autoscaling, and production troubleshooting.
  • Write design documents, review pull requests, and maintain engineering documentation.
  • Collaborate with software engineers, machine learning engineers, and data scientists while mentoring engineers.

Requirements

  • 6+ years of software development experience focused on large-scale distributed systems.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Deep hands-on experience with Kubernetes and GPU infrastructure, including GPU resource management, autoscaling hardware metrics, and GPU memory constraints.
  • Experience with inference engines such as vLLM or SGLang and serving tuned models such as LoRA-based models.
  • Deep proficiency in Python and production-grade software development, testing, deployment, and code review practices.
  • Experience with LLMs, traditional machine learning models, observability, technical communication, and mentoring.

Culture & Benefits

  • Flexible work combining remote work with regular in-person time in the office or field.
  • Opportunity to work on one of hirify.global’s most heavily used production services.
  • Role may include eligibility for the hirify.global Bonus Plan or role-specific bonus and annual refresh stock grants.
  • Reasonable accommodations are available throughout the application and employment process.
  • Inclusive employment practices support qualified applicants, including individuals with disabilities and protected veterans.

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