Machine Learning Engineer

Company:
Location: Toronto, ON

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Hi. We're ecobee. We introduced the world's first smart Wi-Fi thermostat and since then, we've helped millions of people transform the way they save money and conserve energy. With each new release, we introduce technology that brings the ease of automation and peace of mind to the home, allowing people to focus on the moments that matter most. We're proud of what we've done so far, but we're not about to rest with lots more on the go and big things on the horizon for us in 2021!

We're a mid-sized tech company located in the up-and-coming tech hub on the Toronto waterfront. We look to hire talented people who care deeply about our ever-changing environment and excel in their areas of unique expertise; from software and product development to marketing and sales. We take pride in making a meaningful difference to the environment, all while being part of the exciting connected home revolution!

Who'll You Be Joining:

You will be joining our Data Science Chapter and working on missions ranging from personalization, recommendations, energy efficiency, and building a cleaner energy grid. You will work closely with Product teams across the company on features ranging from personalization, recommendations, energy efficiency, and building a cleaner energy grid. You will also collaborate with our ML infrastructure team 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 preferences)
  • Help manage the full ML development life cycle – from problem framing, data wrangling, and model development, to productionization, experimentation, and maintenance
  • Deploy ML features at scale keeping in mind correctness, usability, interpretability, experimentation, and maintainability
  • Leverage existing state-of-the-art tooling - TensorFlow, TensorFlow Lite, TFX, Kubeflow, Cloud Bigtable to name a few
  • Help evaluate 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

What You'll Bring to the Table:

  • 1-2 years experience putting ML into production using frameworks such as Tensorflow, PyTorch, and Scikit-learn
  • Experience working with data at scale (1TB+), leveraging data processing frameworks like Spark and Google Cloud Dataflow
  • Willing and able to learn quickly
  • 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 We'll Bring to the Table:

  • The opportunity to work in a fresh, dynamic, and ever-growing industry that is the SmartHome and IoT space
  • The visibility into a company that has an interesting mix of hardware and software consumer-facing businesses
  • The ability to make an environmental impact, both in your day job and outside the 9-5 with programs like ecobee acts!
  • Opportunities to learn and grow with our in-house learning enablement team, #ThinkLab and a generous professional learning budget
  • A progressive Parental Top-Up Program (75% top up or 5 bonus days off) for all full-time employees taking Parental Leave
  • Stock in the company as we approach #1 in the Smart Home industry!

Changes we've made to ensure our employees are safe: We are doing our part to ensure that our employees (and future employees) remain healthy, safe, and at home to reduce the spread of Covid-19. In doing so, ecobee has made the decision to be a remote-first work environment until September 1st 2021.

How does this affect hiring and onboarding? Our interview and onboarding process has remained relatively the same, except that interviews and on boarding sessions are conducted through video. New employees will be starting remotely and all necessary equipment will be shipped to them.

Our recruitment team is happy to answer any questions candidates may have.

Convinced you'll be able to make an impact? We'd love to hear from you.

ecobee believes all people have equal value and we are committed to providing a safe space for everyone. We welcome all applicants with diverse races, genders, ages, religions, identities, experiences, etc. and we will provide accommodation to all applicants throughout our hiring process.

Please note, ecobee does not accept unsolicited resumes.

*** Mention DataYoshi when applying ***

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