Machine Learning Infrastructure Engineer (Remote)

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

Job summary

A leading technology company in Toronto seeks a Machine Learning Engineer, Infrastructure. In this entry-level full-time role, you will design scalable infrastructure for real-time data pipelines and develop tools for custom machine learning algorithms. Candidates should have a strong understanding of algorithms and software design, and a desire to work collaboratively. The company offers competitive pay and a supportive work culture, welcoming applicants from diverse backgrounds.

Benefits

Highly competitive salary

401K / Pension Savings

Paid time off packages

Access to mental health care

Health benefits from day one

Qualifications

• Ability to break down ambiguously defined tasks into actionable steps.
• Deep understanding of algorithm and software design.
• Interest in designing scalable distributed systems.
• Enjoy collaborative work in a friendly environment.

Responsibilities

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

Skills

Algorithm design

Software design

Concurrency

Data structures

Education

High GPA from a recognized Computer Science program

Job description

A leading technology company in Toronto seeks a Machine Learning Engineer, Infrastructure. In this entry-level full-time role, you will design scalable infrastructure for real-time data pipelines and develop tools for custom machine learning algorithms. Candidates should have a strong understanding of algorithms and software design, and a desire to work collaboratively. The company offers competitive pay and a supportive work culture, welcoming applicants from diverse backgrounds.