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. 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:
We are looking for a Senior Machine Learning Ops Engineer to join our Data Science Chapter – a team that is on a mission to make ecobee products more intelligent and personalized for our customers. We envision a future where all ecobee products work synchronously to create personalized experiences in your home.
You will be joining a team of engineers that come from diverse backgrounds and experiences in the space of ML and AI. You will work closely with Product, Data Science and Business Intelligence teams across the company on missions ranging from personalization, recommendations, energy efficiency, home security, and building a cleaner energy grid. You will also be a part of ML infrastructure development to iterate quickly, scale experiments to data sets with hundreds of billions of data points, and rapidly ship products both on the cloud and on the edge.
How you'll make an impact:
- Build ML features on structured and unstructured content (telemetry, audio, video, user behaviour and preferences)
- Manage the full ML development life cycle – from problem framing, data wrangling, and model development, to productionization, experimentation, and maintenance
- Design and deploy large-scale machine learning products and solutions with correctness, usability, interpretability, experimentation, and maintainability in mind.
- Determine the feasibility of initiatives through quick prototyping with respect to performance, quality, time, and cost
- Collaborate with cross functional teams of software and data engineers to build new product features
- Leverage your experience to drive best practices in ML Engineering and mentor other engineers on the team
- Defining Scope and requirements, success metrics for ML projects.
What you'll bring to the table:
- Graduate degree (Masters/PhD) or equivalent experience in Statistics, Mathematics, Computer Science or another quantitative field
- 3+ years’ experience applying machine learning to real world problems with expertise in manipulating data sets, building statistical models, and productizing machine learning solutions.
- Proven software engineering skills across multiple languages such as Python, C/C++ and ML packages
- Experience with deep learning architectures and frameworks (e.g. Pytorch, Tensorflow)
- Experience working with data at scale (1TB+), leveraging big data processing frameworks like Spark and Google Cloud Dataflow
- 3+ years experience with software engineering and DevOps practices, MLOps deployment and infrastructure.
- Strong understanding of Scrum/Agile development technologies.
- Skilled communicator with a proven record of leading work across disciplines
- Experience optimizing for resource constrained edge devices is a plus
- Interest in climate change mitigation and sustainability is a plus
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'd love to chat!
What happens after you apply:
Application review. It will happen by an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.
Interview Process:
- A 30-minute phone call with a member of Talent Acquisition
- A first-round 45-minute virtual interview with the hiring manager – expect live problem-solving and interactive session, will cover technical skills and self-assessment abilities
- The second round is a take-home assignment with an open-ended solution. This will take 2-3 hours, but you will have 48 hours to complete the assignment
- The final round will be a series of two interviews:
- A 1-hour interview with two members of the team - expect technical, behavioral, situational, and cross-team collaboration questions.
- Followed by a 30-minute call with a product leader with a focus on understanding 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.
