ML Infrastructure Engineer — Real-Time Pipelines

StackAdapt; Remote; CAD 125,000 - 150,000; Full time

Job summary

A leading marketing technology company is seeking a Machine Learning Engineer for their Data Science team in Canada. The role involves designing scalable infrastructure for real-time data pipelines, collaborating with engineers, and developing custom ML tooling. Candidates should have a strong background in algorithm design and a high GPA from a respected CS program. The company offers competitive pay, health benefits from day one, and a supportive work culture that values diversity and inclusion.

Benefits

Highly competitive salary

Retirement/401K/Pension Savings

Competitive Paid time off packages

Access to mental health care programs

Health benefits from day one

Work from home reimbursements

Optional global WeWork membership

Robust training and onboarding program

Support for personal development initiatives

Access to programmatic courses and certifications

Awesome parental leave program

A friendly and supportive culture

Qualifications

• Ability to break down ambiguously defined tasks into actionable steps.
• Deep understanding of software design and algorithm efficiency.
• Enjoys collaborative work environments.

Responsibilities

• Design and maintain infrastructure for scalable real-time data pipelines.
• Develop tooling for implementing custom ML algorithms in low latency.
• Manage infrastructure for training and deployment of ML tasks.

Skills

Algorithm design

Software design

Concurrency

Data structures

Education

High GPA from a well-respected Computer Science program

Job description

A leading marketing technology company is seeking a Machine Learning Engineer for their Data Science team in Canada. The role involves designing scalable infrastructure for real-time data pipelines, collaborating with engineers, and developing custom ML tooling. Candidates should have a strong background in algorithm design and a high GPA from a respected CS program. The company offers competitive pay, health benefits from day one, and a supportive work culture that values diversity and inclusion.