Senior ML Engineer: Real‑Time Distributed Pipelines (Remote)

StackAdapt Inc.; United States; Remote; USD 106,000 - 156,000; Full time

Benefits offered by this job

Remote anywhere in Canada

Full-time employment

Senior or Staff responsibility

Large-scale ML engineering

Employee benefits

Professional development

Salary CAD 150k-220k market

Job summary

StackAdapt Inc. is seeking a senior ML engineer to build real-time data pipelines, scalable ML architectures, and robust training/inference infrastructure. You will advance large-scale machine learning systems in production and lead critical technical initiatives.

The role emphasizes distributed engineering, low-latency pipelines, and cutting-edge ML techniques, with remote work options available and a focus on high-scale impact.

Qualifications

• Senior ML engineering experience
• Strong algorithms knowledge
• Distributed systems experience
• Machine learning algorithm implementation experience
• Concurrency knowledge
• Data structures expertise
• Strong software design skills
• Technical leadership ability

Responsibilities

• Build real-time data pipelines
• Develop machine learning algorithms
• Design scalable ML architecture
• Build model training services
• Develop inference infrastructure
• Build model monitoring systems
• Improve distributed pipelines
• Lead complex technical projects

Skills

Senior ML engineering experience

Algorithms knowledge

Distributed systems

ML algorithm implementation

Concurrency

Data structures

Software design

Technical leadership

Job description

StackAdapt Inc. is seeking a senior ML engineer to build real-time data pipelines, scalable ML architectures, and robust training/inference infrastructure. You will advance large-scale machine learning systems in production and lead critical technical initiatives.

The role emphasizes distributed engineering, low-latency pipelines, and cutting-edge ML techniques, with remote work options available and a focus on high-scale impact.