Machine Learning Engineer

StackAdapt•Vancouver, BC
•CA$140,000 - CA$192,500•Remote

About The Position

StackAdapt is seeking a Machine Learning Engineer to join their Data Science team. This role involves solving complex problems for StackAdapt's digital advertising platform, working closely with Applied Machine Learning Scientists, other Machine Learning Engineers, Engineering teams, and the CTO/Co-Founder. The position focuses on building pipelines and ad optimization models within a high-throughput environment processing millions of requests per second. StackAdapt operates as a remote-first company with teams globally, and is open to candidates in Canada and the United States.

Requirements

  • Ability to take an ambiguously defined task and break it down into actionable steps
  • Deep understanding of algorithm and software design, concurrency, and data structures
  • Experience in implementing probabilistic or machine learning algorithms
  • Interest in designing scalable distributed systems
  • A high GPA from a well-respected Computer Science program
  • Enjoy working in a friendly, collaborative environment with others

Responsibilities

  • Design modular and scalable real time data pipelines to handle huge datasets
  • Understand and implement custom ML algorithms in a low latency environment
  • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently

Benefits

  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • A friendly, welcoming, and supportive culture
  • Our social and team events!
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