At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Marketplace teams are at the heart of our products and decision-making. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.

Forecasting and Real-Time Optimization Platform (FORTOP) team in Lyft’s Marketplace org is responsible for building and supporting the myriad real-time demands to run the business efficiently. We work with Product & Science to improve our driver and passenger experiences through real-time features and machine learning models, covering Dynamic Pricing, Realtime Supply Management, Dispatch, and more. You will be working on a wide array of challenges ranging from large scale distributed systems, sub millisecond request serving, real time forecasting, experimentation & ML modeling. If you're interested in being at the center of Lyft's efforts to deliver delightful experiences to our passengers and drivers, this might be the role for you.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure

• Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch

• Build and operate large-scale distributed systems (Beam, Flink, Kafka, etc.)

• Design and own the way real-time data is consumed, stored, and shared with the entirety of Lyft

• Write well-crafted, well-tested, readable, maintainable code

• Participate in code reviews to ensure code quality and distribute knowledge, including Open-Source projects

• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

• 5+ years of software engineering industry experience

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience

• Experience in backend software development of large-scale distributed systems

• Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)

• Preferred: Experience in streaming platforms (Beam,Flink, or similar) and/or distributed messaging (Kafka, Kinesis, or similar)

• Preferred: Experience in Machine Learning

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits

• Mental health benefits

• Family building benefits

• Access to a Health Care Savings Account

• In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service

• 4 Floating Holidays each calendar year prorated based off of date of hire

• 10 paid sick days per year regardless of province

• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid