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Machine learning • waterloo on
Engineering Manager - MLOps & Analytics
CanonicalWaterloo, Region of Waterloo, CASenior Data Scientist III
RELXHome Based, Canada ONMold Maker / Tool & Die
Flex-N-Gate LLC.Kitchener, Region of Waterloo, CAEngineer - Reinforcement Learning
HuaweiWaterloo, Region of Waterloo, CA- New!
Mold Maker / Tool & Die
Flex-N-GateKitchener, Region of Waterloo, CAMachine Learning Researcher
Royal Bank of Canada>WATERLOO, CanadaSenior Machine Learning Engineer I
CARTAWaterloo, Ontario, CanadaStaff Machine Learning Engineer - Ads Targeting
redditRemote, Ontario, CanadaStaff Applied Scientist, AI / ML
KinaxisWaterloo, Region of Waterloo, CALearning Experience Designer, Classroom Success
ForwardeduKitchener, Region of Waterloo, CASenior AI Engineer : LLMs & Scalable ML Features
HRBKitchener, Region of Waterloo, CASenior Director, Software Engineering (Machine Learning)
AffirmKitchener, Region of Waterloo, CAMachine Learning Engineer
ProNavigatorKitchener, Region of Waterloo, CACo-op Engineer - Machine Learning
Huawei Technologies Canada Co., Ltd.Waterloo, Ontario, CA- New!
Machine Operator
BizLink Holding IncKitchener, Region of Waterloo, CAMachine Operator
CB CanadaWaterloo, Ontario, CanadaSenior Applied AI / ML Scientist - Ads Platform, Hybrid
FaireKitchener, Region of Waterloo, CADirector of Learning and Development
Opportunities @ Schlegel VillagesKitchener, Ontario, Canada- Victoria, BC (from $ 38,805 to $ 235,640 year)
- Thunder Bay, ON (from $ 145,000 to $ 235,400 year)
- Ottawa, ON (from $ 93,783 to $ 230,510 year)
- North Bay, ON (from $ 140,000 to $ 225,500 year)
- Sainte-Anne-de-Bellevue, QC (from $ 129,022 to $ 218,677 year)
- Kitchener, ON (from $ 105,500 to $ 213,398 year)
- Waterloo, ON (from $ 141,000 to $ 206,795 year)
- Waterloo, QC (from $ 141,000 to $ 206,795 year)
- Bradford West Gwillimbury, ON (from $ 95,000 to $ 203,692 year)
- Quinte West, ON (from $ 95,000 to $ 203,692 year)
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Engineering Manager - MLOps & Analytics
CanonicalWaterloo, Region of Waterloo, CA- Full-time
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The role of an Engineering Manager at Canonical
As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.
You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.
You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.
We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.
Location : This is a Globally remote role.
What your day will look like
- Manage a distributed team of engineers and its MLOps / Analytics portfolio
- Organize and lead the team's processes in order to help it achieve its objectives
- Conduct one-on-one meetings with team members
- Identify and measure team health indicators
- Interact with a vibrant community
- Review code produced by other engineers
- Attend conferences to represent Canonical and its MLOps solutions
- Mentor and grow your direct reports, helping them achieve their professional goals
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
What we are looking for in you
Additional skills that you might also bring
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
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