Senior/Staff Machine Learning Engineer
StackAdapt6 months ago
Toronto, Canada +3 moreSenior / Staff+
Responsibilities
- Design modular and scalable real-time data pipelines for very large datasets
- Recommend, implement, and coordinate architectural improvements for big-data machine learning pipelines
- Implement custom machine learning algorithms in a low-latency environment
- Develop and operate microservice architectures for training, inference, and monitoring across thousands of machine learning models concurrently
- Collaborate with Data Scientists, machine learning engineers, engineering teams, and the CTO/Co-Founder
Requirements
- Deep understanding of algorithms, software design, concurrency, and data structures
- Experience implementing probabilistic or machine learning algorithms
- Experience designing scalable distributed systems
- High GPA from a respected Computer Science program or equivalent experience at a competitive, innovative technology company
- Ability to break ambiguous tasks into actionable steps
- Ability to independently implement complex projects and coordinate others through completion
- Collaborative working style
Benefits
- Remote-first work arrangement, open to candidates anywhere in Canada
- Retirement, 401(k), and pension savings options globally
- Competitive paid time off, including a birthday off
- Mental health care program and health benefits from the first day
- Work-from-home reimbursements
- Optional global WeWork membership and access to London and Toronto hubs
- Training, onboarding, personal development, conferences, courses, and books
- Programmatic courses and certifications
- Parental leave program
- Social and team events
Categories
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.