We are looking for an experienced backend software engineer to join our Road Safety & Telematics team. At the company, Telematics data is used to make the company safer by reducing the frequency and severity of accidents, which in turn also makes the company more affordable for riders and a better way to earn a living for drivers. The Telematics team acts as a platform team that processes petabytes of mobile sensor data — millisecond-level IMU, gyroscope, and GPS signals — through a series of DAG-based transformations and ML model inferences to detect harsh driving events and convert them into normalized risk features that other the company services consume.

Our technology stack runs on AWS, Kubernetes, Spark, and Apache Airflow. In this role, you'll work closely with data scientists, actuarial teams, other backend and data engineers, and product management — partnering across geos to build risk-aware products that rank and reward safe drivers, help off-board unsafe ones, notify drivers in real time, and give claims agents the tools to understand exactly what happened in a ride. You'll also be a key technical partner to our insurance team as they optimize coverage costs and provider relationships.

If you are a seasoned engineer with a passion for innovation, high-volume data pipelines, microservices, working in cross-disciplinary environments and possess the skills to ensure the ongoing maintenance and improvement of services, you will thrive on our team! You can read about some of the products that Telematics powers in this blog post: company.com/blog/posts/lyfts-impact-on-road-safety Be a champion of the team's safety and affordability mission, serving as a reliable source of risk insights for teams across the company — from driver ranking and safety rewards to accident claims resolution and insurance strategy.



~ Lead medium to large projects, ensuring end-to-end execution with a focus on high quality and reliability. ~ Work cross-functionally with Data Scientists to productionize models that turn raw sensor signals into harsh-event detection and risk features, driving the team's industry-leading innovation in this space. ~ Take a lead role in the ongoing maintenance of our Telematics systems, reducing tech debt and operating costs through sensible, data-driven design decisions. ~ Apply the latest AI tools to boost engineering and business productivity, sharing what you learn with the team. ~ Utilize your expertise in Python, AWS, Spark, SQL (Databricks/Presto), etc. Participate in our team's on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events. 4+ years of software engineering industry experience ~ Experience in backend software development of large-scale distributed systems ~ Experience and/or interest in serving, versioning, monitoring ML models in production environments ~ Experience with S3, Spark, Presto, Parquet, Databricks ~ Extended health and dental coverage options, along with life insurance and disability benefits ~ Family building benefits ~ Child care and pet benefits ~ Access to a the company funded Health Care Savings Account ~ RRSP plan with company match to help save for your future ~ In addition to provincial observed holidays,



salaried team members are covered under the company's versatile paid time off policy.

The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service ~ the company is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. the company believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. the company highly values having employees working in-office to foster a collaborative work setting and company culture.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks the company offers. The expected base pay range for this position in the Toronto area isCAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. the company may use artificial intelligence to screen applicants, however, the company employees make the ultimate selection and hiring decisions.

📌 Software Development Engineer - Machine Learning (Toronto)
🏢 United States Digital Space
📍 Toronto