StackAdapt is hiring a Machine Learning Engineer in Calgary!
StackAdapt, an ad-tech company known for its AI-powered marketing platform, is hiring a Machine Learning Engineer for its Data Science team in Calgary. The role is remote-first, with candidates considered across Canada and the United States. The engineer will help build systems that support digital advertising optimization at very large scale, working alongside applied ML scientists, other ML engineers, engineering teams, and the CTO/co-founder. The environment involves high-volume request processing, many concurrently running models, and low-latency constraints, so the work combines applied machine learning with scalable software and data infrastructure.
Key responsibilities
- Design modular, scalable real-time data pipelines capable of handling very large datasets.
- Implement custom machine learning algorithms with attention to low-latency performance.
- Build and maintain microservice-based systems for training, inference, and monitoring across thousands of machine learning models running concurrently.
Key requirements
- Ability to turn an ambiguously defined problem into clear, actionable steps.
- Strong grasp of algorithm design, software design, concurrency, and data structures.
- Experience implementing probabilistic or machine learning algorithms.
- Interest in designing scalable distributed systems.
- High GPA from a respected computer science program.
- Comfort working collaboratively in a friendly team environment.
- Seniority: Individual contributor (seniority not stated)
- Work mode: Remote-first (Canada/US)
- Salary: $140,000–$192,500 CAD (Canada base salary band); $128,000–$176,000 USD (USA base salary band)
- Key skills: Real-time data pipelines, Machine learning algorithms, Low-latency systems, Microservices, Distributed systems, Concurrency, Data structures, Software design, Training and inference, Model monitoring, Scalability
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