The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
How do we accurately predict acute and chronic traffic conditions?
How do we improve the recommendations of our routing algorithms?
How do we keep our travel estimation promises to our riders and drivers?
How do we benchmark and measure the success of our services?
Own the complete lifecycle of algorithmic solutions from problem formulation,: data exploration, and feature engineering to deployment, monitoring, and iteration
Prioritize and lead deep dives into our data to uncover new product and business opportunities
What they're looking for
- Partner closely with Engineering to build and scale production-grade ML: systems, real-time inference services, batch pipelines, and feature stores
- Design, implement, and analyze different types of experiments, and facilitate: and foster data-driven and informed decision making and prioritization
- Drive scientific excellence by introducing modern techniques in ML,: optimization, reinforcement learning, or graph-based methods to unlock new product capabilities
- Establish metrics that measure the health of our products, as well as rider and driver experience
