Hi, we are ecobee.

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 Joining:

The ecobee Machine Learning team researches, builds and deploys, at scale, the engine that powers the heart of ecobee’s smart devices. Our engineers work with modern technologies and help build solutions to make our ecosystem of products more intelligent and more capable of responding to our customer’s individual needs than ever before. We're looking for highly creative, results-oriented, and skilled Staff Machine Learning Engineers to help on a range of these challenges. You will realize that the sky is the limit to your growth–all while having fun!

Our team is working on several exciting areas such as Smart Home Monitoring, Data-driven Home Energy Management and ML-driven Customer Engagement.

How You’ll Make an Impact:

Working across multiple teams within Machine Learning, you’ll use your expertise in machine learning to support and advance various projects while also collaborating closely with members of our Product and Business Intelligence teams on missions ranging from personalization, recommendations, energy efficiency, home security, and building a cleaner energy grid.

You’ll contribute directly to the development of our machine learning infrastructure, iterating quickly, running and scaling experiments with data sets containing hundreds of billions of data points, and rapidly shipping products on both the cloud and the edge.

As a Staff Machine Learning Engineer at ecobee, you will;

• Lead a team in translating business use cases into concrete software problems, applying innovative technologies and consistently balances algorithmic elegance with engineering considerations such as scale and maintenance and overhead.
• Lead exploration, design and execution of ML models and frameworks that deliver value to our users.
• Collaborate closely with technical and non-technical stakeholders, including business partners, engineering and analytics teams to take services from inception to production.
• Manage the full machine learning development lifecycle from problem framing, data wrangling, model development and fine-tuning all the way to productionization, experimentation, and maintenance.
• Determine the feasibility of initiatives through quick prototyping and with respect to performance, quality, time, and cost.
• Bring cutting-edge research and industry knowledge into the team around natural language processing (NLP), computer vision, machine learning, generative AI, and related areas.
• Provide technical mentorship and coaching to the team members.
• Takes ownership for finding creative solutions that move projects forward, by continuously researching and staying up-to-date with the latest machine learning research, translating new techniques and algorithms into innovative solutions.

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 skillset, so if any combination of these applies to you, we’ve love to chat!

• Graduate degree (Masters/PhD) in Statistics, Mathematics, Computer Science or another quantitative field.
• 6+ years’ of professional experience applying machine learning to multiple projects aimed at solving real-world problems.
• 6+ years’ of professional experience with manipulating data sets, building statistical models, and productionizing machine learning solutions using state-of-the-art techniques
• Strong knowledge of machine learning frameworks (pytorch, tensorflow or Keras), libraries (NumPy and scikit-learn), data structures, data modeling, and software architecture.
• Demonstrable experience developing and training production-ready machine learning models including transformer models, reinforcement learning, neural networks, model training in an area such as classifiers, recommenders, vision, and speech.
• Experience working with data at the scale of 1TB or more, leveraging big data processing frameworks like Spark and Google Cloud Dataflow.
• Experience with software engineering, ML-Ops deployment and infrastructure best practices.
• Proven software engineering skills across multiple languages such as Python, C/C++, and the accompanying frameworks and libraries used in machine learning packages.
• Proven ability to lead cross-functional projects to successful conclusions using strong problem-solving skills and the ability to communicate complex concepts to technical and non-technical stakeholders.
• Expertise working in environments that leverage Scrum and Agile.

What happens after you apply?

Application Review. It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ application for some roles, it can take a few days, but every applicant can expect a note regarding their application status.

Interview Process (3 Rounds)

• Round 1: A 45-minute phone call with a member of Talent Acquisition.
• Round 2: A 45-minute virtual meeting with a Senior Machine Learning Manager. This will be a technical interview in the form of a Q&A.
• Completion of a machine learning take-home challenge.
• Round 3 is broken into two parts;
• Part 1: A 1-hour virtual meeting with a pair of senior members of our Machine Learning team. The interview would review the breadth and depth of data and ML knowledge.
• Part 2: A 45-minute virtual meeting our VP of Data Science, and a Staff Product Manager for a Q&A on machine learning in a product-context.

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 on an exceptional culture: Enjoy a fun and casual workplace with an open concept office, located at Corus Quay. 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 a 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.

Discover our products and services and learn more about who we are.

Ready to join ecobee? View current openings.

Please note, ecobee does not accept unsolicited resumes.