Lead design and operation of production systems for real‑time forecasting and optimization in Lyft’s marketplace.
Compensation
The expected base pay range for this position in the Seattle area is $136,160 - $170,200, not inclusive of potential equity offering, bonus or benefits.
Responsibilities
Lead projects end to end
Architect ML systems
Partner with science to ship
Own signal contracts
Operate what you build
Requirements
BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
Lead the design and operation of production systems that turn streaming marketplace data into accurate, reliable forecasts for Lyft’s real-time decision engines.
Compensation
The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits.
Responsibilities
Lead projects end to end: Drive multi-engineer projects from proposal and technical design through launch.
Architect ML systems: Design and evolve streaming feature pipelines, training and inference workflows, and signal serving, and lead design reviews with attention to latency, correctness, scalability, and cost.
Partner with science to ship: Partner with scientists to design/productionize ML models. Build the rollout tooling (shadow, canary, rollback) and the backtesting and experimentation infrastructure that make launches safe and fast.
Own signal contracts: Define and maintain the interfaces, data contracts, and SLAs between forecasting signals and downstream consumers such as Dynamic Pricing and Driver Incentives.
Operate what you build: Monitor system health (latency, freshness, error rates) and signal quality (accuracy, bias, drift), and prepare systems for peak events. Take part in on-call, lead post-incident investigations, and drive action items to completion.
Requirements
BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
