Senior Software Engineer, Forecasting & Real-Time Optimization

Job overview

The Senior Software Engineer, Forecasting & Real-Time Optimization role is hybrid in San Francisco, CA, with three in-office days each week on Mondays, Wednesdays, and Thursdays and up to four weeks per year working from anywhere. Compensation is $148,000–$185,000 per year. The Forecasting and Real-Time Optimization Platform team provides marketplace signals and forecasts that support Lyft products such as Dynamic Pricing and Real-Time Supply Management. This engineer leads the design and operation of production systems that turn streaming marketplace data into reliable forecasts. The work connects machine-learning models and marketplace data to downstream products through feature pipelines, training and inference infrastructure, evaluation tools, and signal-serving systems, while maintaining reliability during high-demand periods.

What you'll do

• Lead engineering projects from proposal and design through launch
• design streaming feature pipelines, model training and inference workflows, and signal-serving systems
• partner with scientists to productionize models and build rollout, backtesting, and experimentation tools
• define data contracts and service-level agreements with downstream consumers
• monitor system health and signal quality, participate in on-call, lead post-incident investigations, and complete follow-up actions
• write and review maintainable code, mentor engineers, and collaborate with Product, Science, and engineering teams.

What we're looking for

Skills & competencies

lyft

senior software engineer

forecasting

real-time optimization

distributed systems

machine learning infrastructure

streaming data

time series forecasting

marketplace systems

on-call

san francisco ca

hybrid

$148k–$185k/year

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, and vision insurance
• mental health and family-building benefits
• child care and pet benefits
• 401(k) with company match
• paid time off and holidays
• 18 weeks paid parental leave
• commuter benefits
• monthly Lyft credits and Lyft Pink membership.

Why this role

Builds forecasting infrastructure for rider demand and driver supply, including systems used by Dynamic Pricing and Driver Incentives; on-call participation is part of the role.

About the employer

Lyft is hiring for this role. Industry: Taxi and Ridesharing Services. Sector: 48.