Senior/Staff Machine Learning Engineer

StackAdapt • Full-time • Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Toronto; Vancouver • 1d ago

We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

Learn more about our team culture here: https://www.stackadapt.com/careers/data-science

Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, and we are open to candidates located anywhere in Canada for this position.

What you'll be doing:

Design modular and scalable real time data pipelines to handle huge datasets
Suggest, implement, and coordinate architectural improvements for big data ML pipelines
Understand and implement custom ML algorithms in a low latency environment
Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently

What you'll bring to the table:

Have the ability to take an ambiguously defined task, and break it down into actionable steps
Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
Have deep understanding of algorithm and software design, concurrency, and data structures
Experience in implementing probabilistic or machine learning algorithms
Experience in designing scalable distributed systems
A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
Enjoy working in a friendly, collaborative environment with others

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