Description
We are looking for an experienced backend software engineer to join our Road Safety & Telematics team at Lyft. Our purpose is to serve and connect, and we aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
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 Lyft services consume.
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.
Responsibilities:
- Be a champion of the team's safety and affordability mission, serving as a reliable source of risk insights for teams across Lyft , 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.
- Drive future work to reduce latency, simplify, and improve the accuracy of both our back-end and on-device models that predict accidents before they happen.
- Actively unblock and support team members, fostering a collaborative and efficient work environment.
- Take a lead role in the ongoing maintenance of our Telematics systems, reducing tech debt and operating costs through sensible, data-driven design decisions.
- Collaborate with product management and leadership across geos to define and execute ambitious roadmaps for Telematics.
- 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. to deliver robust and scalable solutions.
- Participate in our team's on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events.
Experience:
- 4+ years of software engineering industry experience
- Experience in backend software development of large-scale distributed systems
- Experience and/or interest in running large batch processing jobs with Spark or other large scale compute architectures
- Experience and/or interest in Library development
- Experience and/or interest in serving, versioning, monitoring ML models in production environments
- Experience defining API schemas and developing backend services in a microservices environment
- Experience with S3, Spark, Presto, Parquet, Databricks
- You're a great communicator, and can advocate for your proposals while also empathizing with your cross-functional teammates' goals and priorities
- You collaborate well with a geographically distributed team
Benefits:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft 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 Lyft's flexible 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
- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits and Lyft ride credits