Manager – ML Engineering
Confirmed live in the last 24 hours
Toronto, ON, Canada
Experience Level
  • 5+ years of relevant data science, machine learning and engineering experience
  • 2+ years of people management experience
  • Expertise in data science methodologies, machine learning frameworks and engineering best practices
  • 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
  • Just so you know: The hired candidate will be required to complete a background check
  • A 30-minute phone call with a member in Talent Acquisition
  • A first round virtual interview with the hiring manager - expect technical, behavioural and situational questions
  • The second round will be a 60-minute session to meet with leaders from the Data Science and ML teams focusing on team management and technical assessment
  • The final interview will be a 90-minute case study session with the Leadership team
  • Foster a positive, supportive and inclusive work environment
  • Hire and develop a team of data scientists, MLEs and engineers - providing coaching, mentoring, motivation, and technical guidance
  • Manage the full ML development life cycle and tooling - from problem framing, data wrangling, and model development, to deployment, monitoring, and maintenance
  • Deliver high-quality, scalable solutions on time and on-budget
  • Lead execution of project plans, delivery commitments and risk mitigation
  • Build strong partnerships with cross-functional teams and contribute to the overall direction of the company
  • Help evaluate the feasibility of initiatives through quick prototyping with respect to performance, quality, time and cost
  • Collaborate with cross functional teams of product manager, software and data engineers to deliver unique customer experiences
  • Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry
  • Make an environmental difference: 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

201-500 employees

Smart home automation solutions
Company Overview
Ecobee’s mission is to improve everyday life while making a positive impact on climate change through their assortment of modern smart home solutions. The company is highly committed to creating products that enable planet positive actions through their next generation software called eco+ on their products that delivers deeper energy savings and flexible demand for the energy grid – which is a step in the right direction for the transition to renewable energy.
  • Health/Lifestyle Spending Account
  • 75% parental leave top-up
  • Health benefits starting day 1
  • 25-day paid sabbatical in year 5
  • $1,500 learning & development budget
  • Quarterly hackathons
  • Volunteer Days
  • Flexible hours & work from home
  • Your own Ecobee device
Company Core Values
  • Cultivate curiosity
  • Start with the customer
  • Aim for impact
  • Work for the planet
  • Think like an owner
  • Give respect and build trust