Machine Learning Engineer
StackAdapt5 days ago
Toronto, Canada +5 moreMid Level
Responsibilities
- Design modular and scalable real-time data pipelines for huge datasets.
- Implement custom machine learning algorithms in a low-latency environment.
- Build microservice architectures supporting training, inference, and monitoring for thousands of machine learning models concurrently.
- Collaborate with Applied Machine Learning Scientists, Machine Learning Engineers, engineering teams, and the CTO/Co-Founder on pipelines and advertising optimization models.
Requirements
- Demonstrated ability to break ambiguously defined tasks into actionable steps.
- Deep understanding of algorithms, software design, concurrency, and data structures.
- Experience implementing probabilistic or machine learning algorithms.
- Interest in designing scalable distributed systems.
- High GPA from a well-respected Computer Science program.
- Ability to work collaboratively in a friendly team environment.
Benefits
- Remote-first, fully distributed work arrangement for candidates based in Canada or the United States.
- Retirement, 401(k), and pension savings programs globally.
- Paid time off, including birthday leave.
- Comprehensive mental health care program and health benefits from the first day of employment.
- Work-from-home reimbursements and optional global WeWork membership.
- Training and onboarding program.
- Support for professional development initiatives such as conferences, courses, and books.
- Access to StackAdapt programmatic courses and certifications.
- Parental leave program, social and team events, and a welcoming culture.
Categories
Data EngineeringML Engineering
About StackAdapt
StackAdapt builds a programmatic demand-side platform that lets brands and agencies plan, buy, and optimize digital ads across native, display, video, connected TV, and audio. Its AI-driven platform supports cross-channel targeting, measurement, and attribution, sold as SaaS/media through managed and self-serve campaigns. Founded in 2014 and headquartered in Toronto, the company is privately held and serves customers across North America, EMEA, APAC, and LATAM.