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обновлено 13 дней назад

Senior/Staff Machine Learning Engineer (AI)

170 400 - 234 300CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior/Staff Machine Learning Engineer (AI): Designing and implementing scalable data pipelines and machine learning algorithms for StackAdapt's digital advertising platform with an accent on big data processing and real-time performance. Focus on building microservice architectures and optimizing ML models for high-load environments.

Location: Remote anywhere in Canada; listed locations include Alberta, British Columbia, Calgary, Ontario, Toronto, and Vancouver.

Base salary: CAD 170,400–234,300 per year.

Company

hirify.global develops an AI-powered marketing platform for programmatic advertising and audience optimization.

What you will do

  • Design modular, scalable real-time data pipelines for very large datasets.
  • Recommend, implement, and coordinate architectural improvements for big-data machine learning pipelines.
  • Implement custom machine learning algorithms in low-latency environments.
  • Build microservice architectures for training, inference, and monitoring thousands of machine learning models concurrently.
  • Collaborate with data scientists, machine learning engineers, engineering teams, and the CTO/co-founder.

Requirements

  • Deep understanding of algorithms, software design, concurrency, and data structures.
  • Experience implementing probabilistic or machine learning algorithms.
  • Experience designing scalable distributed systems.
  • Ability to break down ambiguous problems into actionable steps and complete complex projects independently or by coordinating others.
  • Strong academic background in computer science or equivalent experience in a competitive, innovative technology company.

Culture & Benefits

  • Remote-first work model with work-from-home reimbursements.
  • Competitive paid time off, including a birthday day off.
  • Health benefits from the first day of employment and mental health support.
  • Retirement, 401(k), or pension savings according to local arrangements.
  • Training, onboarding, professional development support, and access to programmatic courses and certifications.
  • Parental leave, social events, and a collaborative, inclusive work environment.

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