Senior/Staff Machine Learning Engineer

StackAdapt

. Design modular and scalable real-time data pipelines to handle huge datasets .

Posted 11/1/2026full-timeRemote • CanadaSenior💰 CA$170,400 - CA$234,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable real-time data pipelines and machine learning algorithms, with a strong focus on collaboration and project execution in a fast-paced environment.

Highest-signal resume keywords

Real-Time Data Pipeline DesignMachine Learning Algorithm ImplementationScalable Distributed Systems DesignMicroservice Architecture ExperienceProject Coordination and Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignMachine Learning AlgorithmsSoftware DesignConcurrencyData StructuresProbabilistic AlgorithmsBig Data TechnologiesArchitectural ImprovementsAd Optimization ModelsDigital Advertising Platforms

Soft Skills

CollaborationIndependent ImplementationProblem-SolvingProject ManagementCommunication

Industry Keywords

Big DataMachine LearningMicroservicesData ScienceDigital Advertising

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

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 running training, inference, and monitoring on thousands of ML models concurrently
Collaborate directly with Data Scientists, Machine Learning Engineers, Engineering teams, and the CTO/Co-Founder
Build pipelines and ad optimization models for StackAdapt's digital advertising platform

Requirements

What you’ll need

Ability to take an ambiguously defined task and break it down into actionable steps
Ability to follow through complex projects to completion, through independent implementation and coordinating others
Deep understanding of algorithms and software design, concurrency, and data structures
Experience implementing probabilistic or machine learning algorithms
Experience designing scalable distributed systems
High GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative tech company
Enjoy working in a friendly, collaborative environment with others

Benefits

Comp & perks

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 for those who want a change from their home office and hubs in London and Toronto
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!