Senior/Staff Machine Learning Engineer

Hidden Jobs; United States; Remote; USD 122,000 - 168,000; Full time

Benefits offered by this job

Home office reimbursements

Learning budget

Health benefits from day one

Job summary

StackAdapt is seeking a senior-level engineer to advance our data science platform. You will design and optimize real-time data pipelines, build scalable ML-serving microservices, and translate research questions into concrete engineering plans.

Collaborate with data scientists, backend engineers, and leadership to push performance at very high scale. You will own critical components of the ML infrastructure, drive architectural improvements, and implement low-latency algorithms across thousands

Qualifications

• Break down loosely defined problems into structured work.
• Proven track record delivering complex tech projects independently and through coordination.
• Strong CS fundamentals: algorithms, data structures, concurrent systems.
• 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 coordination

Algorithms

Concurrency

Distributed systems

ML algorithms

Education

Computer science degree

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.