Senior/Staff Machine Learning Engineer

stackadapt; United States; Remote; USD 119,000 - 164,000; Full time

Benefits offered by this job

Remote-first Canada

Home office budget

Learning budget

Parental leave

Health benefits

Job summary

stackadapt is seeking a senior engineer on a data science team to build ML infrastructure powering real-time ad optimization at scale. The role blends hands-on work with collaboration across data scientists, backend engineers, and leadership.

You will design scalable pipelines, develop low-latency ML algorithms, and maintain microservices for training, serving, and monitoring thousands of models. Remote-first with Canada location; competitive CAD compensation.

Qualifications

• Demonstrated ability to take loosely defined problems and break them into structured work.
• Track record of shepherding complex technical projects to completion independently and through coordination.
• Deep understanding of algorithms, software design, concurrency, and data structures.
• Hands-on experience implementing probabilistic or machine learning algorithms.
• Experience designing scalable distributed systems.

Responsibilities

• Design modular, scalable real-time data pipelines capable of handling massive datasets.
• Propose and coordinate architectural improvements to large-scale ML data pipelines.
• Implement custom machine learning algorithms optimized for low-latency environments.
• Build and maintain microservice architectures that train, serve, and monitor thousands of ML models concurrently.
• Translate ambiguous research and product questions into concrete, actionable engineering plans.

Skills

Problem decomposition

Project governance

Algorithms & data structures

Probabilistic/ML algorithms

Distributed systems

Education

Bachelor's degree in CS or equivalent

Job description

Role overview

This is a senior-level engineering position on a data science team that powers a high-volume digital advertising platform. The work centers on building and improving the machine learning infrastructure that supports real-time ad optimization at very large scale. The role spans both individual technical contribution and collaboration with data scientists, backend engineers, and engineering leadership.

Responsibilities

• Design modular, scalable real-time data pipelines capable of handling massive datasets.


• Propose and coordinate architectural improvements to large-scale ML data pipelines.


• Implement custom machine learning algorithms optimized for low-latency environments.


• Build and maintain microservice architectures that train, serve, and monitor thousands of ML models concurrently.


• Translate ambiguous research and product questions into concrete, actionable engineering plans.

Requirements

• Demonstrated ability to take loosely defined problems and break them into structured work.


• Track record of shepherding complex technical projects to completion independently and through coordination.


• Deep understanding of algorithms, software design, concurrency, and data structures.


• Hands-on experience implementing probabilistic or machine learning algorithms.


• Experience designing scalable distributed systems.


• Strong academic background in computer science or equivalent experience in a competitive technology environment.

Nice to have

• Experience working in collaborative, friendly engineering cultures.

Benefits and work setup

• Remote-first position open to candidates located anywhere in Canada.


• Base salary band of CAD $170,400 to $234,300, plus potential eligibility for bonuses, equity, or commissions depending on location and role.


• Retirement or pension savings plan, competitive paid time off, mental health support, and health benefits from day one.


• Home office reimbursements, optional co-working access, parental leave, learning budgets, and structured onboarding.