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About the Role
Lyft's Marketplace teams are seeking passionate, driven engineers to build predictive, personalized, and adaptive systems. The ideal candidate enjoys solving problems with distributed computing for ML and forecasting models, finding patterns in data, and building reliable systems in a fast-paced environment. The Forecasting and Real-Time Optimization Platform (FORTOP) team provides real-time market supply and demand signals and forecasts that power critical automated decisions for Lyft’s business.
Responsibilities
- Lead projects end to end, driving multi-engineer projects from proposal to launch.
- Architect ML systems, designing and evolving streaming feature pipelines, training and inference workflows, and signal serving.
- Partner with scientists to design and productionize ML models, building rollout tooling and backtesting infrastructure.
- Define and maintain interfaces, data contracts, and SLAs between forecasting signals and downstream consumers.
- Operate built systems, monitoring health and signal quality, and preparing systems for peak events.
- Write well-tested, maintainable code and provide code reviews.
- Collaborate with Product, Science, and partner engineering teams to frame problems and shape the roadmap.
- Mentor engineers, participate in hiring and onboarding, and share knowledge.
Requirements
- 5+ years of software engineering industry experience, including building and operating backend or data systems in production.
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience.
- Experience designing and leading delivery of large-scale distributed systems, and owning their reliability through monitoring, on-call, and incident response.
- Solid distributed systems fundamentals: fault tolerance, delivery semantics, and consistency tradeoffs.
- Track record of leading ambiguous, multi-engineer projects and mentoring other engineers.
- Clear written communication, including design docs that align stakeholders.
Skills
- ML systems
- Forecasting models
- Distributed computing
- Real-time feature pipelines
- Model training and inference infrastructure
- Backtesting and evaluation tooling
- Serving layer
- Streaming data
- Dynamic Pricing
- Real-Time Supply Management
- Fulfillment
- Flink
- Beam
- Spark
- Kafka
- Kinesis
- Time series forecasting
- Online experimentation
- Real-time decision systems
- AI-assisted development tools
Location
- San Francisco area
Work Type
- Hybrid
- In-office (3 days per week)
- Remote (up to 4 weeks per year)
Experience Level
- Senior
Education Level
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
Salary/Compensations
- $148,000 - $185,000
Benefits
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match
- Discretionary paid time off (salaried) / 15 days paid time off (hourly)
- 18 weeks of paid parental leave
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
About the Company
- Lyft's purpose is to serve and connect.
- We aim to cultivate a work environment where all team members belong and have the opportunity to thrive.
Equal Opportunity
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.
- All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law.
- We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.