Senior/Staff Machine Learning Engineer

3 months ago

Toronto, Canada +3 moreSenior / Staff+

H1B Sponsor

Responsibilities

Design modular and scalable real-time data pipelines to handle huge datasets.
Suggest, implement, and coordinate architectural improvements for big data ML pipelines.
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.

Ability to break down ambiguously defined tasks into actionable steps.
Experience in following through complex projects to completion, both independently and by coordinating others.
Deep understanding of algorithm and software design, concurrency, and data structures.
Experience in implementing probabilistic or machine learning algorithms.
Experience in designing scalable distributed systems.
High GPA from a well-respected Computer Science program or equivalent experience in a competitive tech company.
Enjoy working in a friendly, collaborative environment.

Highly competitive salary.
Retirement/401K/Pension Savings globally.
Competitive paid time off packages including birthdays off.
Access to a comprehensive mental health care program.
Health benefits from day one of employment.
Work from home reimbursements.
Optional global WeWork membership for those wanting a change from their home office.
Robust training and onboarding program.
Coverage and support for personal development initiatives.
Access to StackAdapt programmatic courses and certifications.
An awesome parental leave program.
A friendly, welcoming, and supportive culture.
Social and team events.