We are looking for an Engineering Manager who is passionate
about helping our (surprisingly small) multi-disciplinary team
of developers and researchers succeed, and helping us grow!
Experience the challenges and opportunities of developing
products that use the latest machine learning techniques to
advance dementia detection.
Role & Responsibilities
- Report directly to the CTO.
Be a key figure in ensuring that all of the teams within
Winterlight have mutual understanding of objectives and work
Learn and ultimately improve how software engineering,
machine learning research and clinical research come
together to detect signs of dementia and other cognitive
Work with the individual engineering teams to clear blockers
and make a pleasant environment for everyone.
Lead hiring initiatives and make onboarding plans for the
Provide continuous feedback and lead performance evaluations
to ensure the growth and success of the engineering teams.
Provide career mentorship and develop career tracks for the
Establish and track meaningful metrics to measure the health
of our teams and systems. xxx
A Bachelor’s degree or higher in computer science, computer
engineering, or equivalent skills.
At least 5 years of industry experience in software
At least 3 years of industry experience in managing teams.
Find as much joy in connecting with people as they do
- A passion for helping others succeed. xxx
Experience growing a company from 20 people to 50 or even
Experience in one or more of core languages or technologies:
terraform, AWS and MySQL.
Interest in healthcare and in building software to improve
care and quality of life in older adults. xxx
Winterlight Labs is a fast growing startup based in Toronto
that is developing digital biomarkers to measure neurological
and psychiatric conditions. Our machine learning based
technology analyzes both the acoustics and content of speech
and language, to help identify disease and quantify its
severity. We work with life science companies, academia, and
senior care companies to improve clinical trials, quality of
care, and health outcomes.