Senior Manager, Machine Learning Toronto, Canada

ecobee, Inc.
1 month ago
Applications closed

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ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution.

In 2021, ecobee became a subsidiary of Generac Power Systems. Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together, we take pride in making a meaningful difference to the environment.

Why we love to do what we do:

We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do—and you can be part of it.

Join our extraordinary team.

We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with a satellite office in Leeds, UK (and remote ecopeeps in the US). We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.

Who You'll Be Leading

As a Senior Engineering Manager in Data Science, you will lead a cross-functional team of engineers and machine learning engineers to build innovative machine learning services that power the next generation of experiences for smart homes. With their support, you'll be responsible for large-scale solutions that integrate products and services across our ecosystem and it will be your creative thinking in system and service design that creates unique and seamless experiences for our customers. Your expertise will help shape our future by influencing the overall strategy, driving system architecture and establishing best practices in software development.

How You’ll Make an Impact

  • Foster a positive, supportive and inclusive work environment.
  • Hire and develop a team of software engineers and machine learning engineers—providing coaching, mentoring, motivation, and technical guidance.
  • Build high-quality, efficient and scalable services powered by our machine learning products.
  • Integrate data science services with products and systems across our ecosystem.
  • Lead system architecture design that reduces complexity and enables extendibility and reusability.
  • Manage the full ML development life cycle and tooling – from problem framing, data wrangling, and model development, to deployment, monitoring, and maintenance.
  • Continuously improve engineering practices—balancing speed, quality, and business impact.
  • Build effective agile practices that deliver robust solutions on time and on budget.
  • Lead execution of project plans, delivery commitments and risk mitigation.
  • Help evaluate the feasibility of initiatives through quick prototyping with respect to performance, quality, time and cost.
  • Build strong partnerships with cross-functional teams and contribute to deliver unique customer experiences.

What You’ll Bring to the Table:

We've built the following list as a guideline for some of the skills and interests of our development team - but we strive to build our team with members from a diverse background and skill set, so if any combination of these apply to you, we would love to chat!

  • A well-established history of building efficient and scalable systems and services for machine learning products.
  • Experience managing a team of engineers.
  • Expertise in building low latency, high performance services.
  • Experience with implementing end-to-end scalable solutions in the cloud.
  • Excellent communication skills, both written and verbal.
  • Experience communicating with technical and non-technical stakeholders across multiple business units.
  • Experience with agile and other program management methodologies.
  • You proactively identify upcoming risks, issues and bottlenecks within your team and across departmental boundaries.
  • You thrive in a fast-paced, ambiguous, and high-stakes environment.
  • You are a smart, curious, and analytical person with a bias for action.

What Technologies We Use:

  • Python, dbtLabs, SQL, GitHub Actions (CI/CD)
  • Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow)

With ecobee, you’ll have the opportunity to:

  • Be part of something big:Get to work in a fresh, dynamic, and ever-growing industry.
  • Make a difference for the environment:Make a sustainable impact while on your daily job, and after it through programs like ecobee acts.
  • Expand your career:Learn with our in-house learning enablement team, and enjoy our generous professional learning budget.
  • Put people first:Benefit from competitive salaries, health benefits, and a progressive Parental Top-Up Program (75% top-up or five bonus days off).
  • Play a part in an exceptional culture:Enjoy a fun and casual workplace with an open concept office, located at Queens Quay W & York St. ecobee Leeds is based at our riverside office on the Calls.
  • Celebrate diversity:Be part of a truly welcoming workplace. We offer a mentorship program and bias training.

Are you interested? Let's make it work.

Our people are empowered to take ownership of their schedules with workflows that allow for flexible hours. Based on your job, you have an option of an office-based, fully remote, or hybrid work environment. New team members working remotely will have all necessary equipment provided and shipped to them, and we conduct our interviews and onboarding sessions primarily through video.

We’re committed to inclusion and accommodation.

ecobee believes that openness and diversity make us better. We welcome applicants from all backgrounds to apply regardless of race, gender, age, religion, identity, or any other aspect which makes them unique. Accommodations can be made upon request for candidates taking part in all aspects of the selection process. Our recruitment team is happy to answer any questions candidates may have about virtual interviewing, onboarding, and future work locations.

We’re up to incredible things. Come and be part of them.

Please note, ecobee does not accept unsolicited resumes.

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