Staff Software Engineer - ML Services

February 24

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ecobee

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We're on a mission to improve everyday life while creating a more sustainable world.

smart thermostats • home energy management • business energy management • Wi-Fi thermostats • IoT

201 - 500 employees

💰 Series C on 2018-05

📋 Description

• We're helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. • Join our extraordinary team. • You will be part of the dynamic data engineering and machine learning services group. • Develop robust, scalable architectures that support machine learning capabilities within the Energy and Smart Security business at ecobee. • Tackle high-complexity problems that require detailed cross-domain knowledge. • Contribute to ecobee’s system architecture with designs that have been battle-tested. • Facilitate and lead discussions across squads, ensuring inclusive decision-making processes.

🎯 Requirements

• 10+ years of experience in software engineering, with a proven track record of owning and delivering complex, cross-domain projects at scale. • Expertise in system design, architecture, and the development of large-scale, high-availability and security systems. • Very high proficiency in multiple programming languages and frameworks including Python, Java, Go, Node.js, etc. • Expertise in messaging queue processing (e.g., RabbitMQ, Kafka) and real-time data handling. • Experience with device telemetry, understanding its limits, and how to design systems that effectively use telemetry data to enhance functionality. • Experience working with deep learning architectures and frameworks (e.g. Pytorch, Tensorflow) and leveraging such frameworks to build scalable features. • Familiarity with MLOps stacks like Kubeflow, MLFlow, Sagemaker and proven experience in deploying machine learning features at scale. • Experience working with cloud platforms such as AWS, Azure, or Google Cloud. • Experience optimizing database performance and system tuning, ensuring that database and application interactions are fast, reliable, and scalable. • Demonstrated ability to debug tough, stack-wide issues across multiple environments, finding root causes and implementing long-term fixes. • Demonstrated ability to mentor, lead technical discussions, and contribute to a collaborative engineering culture. • Experience with DevOps principles, CI/CD pipelines, and ensuring operational excellence. • Familiarity with IoT technologies and connected devices is an asset. • Strong debugging skills, with experience solving complex, stack-wide issues that involve mobile devices and cloud-based services.

🏖️ Benefits

• Benefit from competitive salaries, health benefits, and a progressive Parental Top-Up Program (75% top-up or five bonus days off). • Enjoy a fun and casual workplace with an open concept office, located at Queens Quay W & York St. • Be part of a truly welcoming workplace. We offer a mentorship program and bias training. • Make a sustainable impact while on your daily job, and after it through programs like ecobee acts. • Learn with our in-house learning enablement team, and enjoy our generous professional learning budget.