At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
The ETA & Routing team in Mapping is responsible for providing reliable routes and etas for Lyft rides. The team develops and maintains services, ML models and data pipelines used for generating safe, efficient and reliable etas and routes for Lyft's navigation needs. These inputs are used to make the best driver and passenger matches, accurate pricing for driver/riders and high quality turn-by-turn navigation guidance for drivers. We achieve this by processing millions of rides, taking into account real-time traffic data, road network information and driver preferences.
We are looking for an engineer with proven expertise in system architecture, big-data processing and graph algorithms and experience in building scalable solutions in the cloud environments.
Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
Responsibilities:
Create a long-term high impact technical roadmap for the team in collaboration with engineering, product and science partners
Partner cross-functionally in defining product direction, by providing technical insight, inspiration, vision and vetting of ideas
Identify, architect, and build the right technical solutions and products to improve the customer experience
Write well-crafted, well-tested, readable, maintainable code
Have a good grasp and ability to explain the various trade offs made in decisions
Lead code reviews, design reviews, production on-call support and incident triaging process.
Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
Mentor team members within and outside of the team
Build scalable data pipelines for our ML stack.
Experience:
B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience
8+ years of professional experience building large scale distributed systems with high availability, observability and reliability?requirements.
Proficiency in SQL - able to write structured and efficient queries on large data sets
Proficiency in C++, Golang and scripting languages (Python, Bash)
Experience working with over-the-wire protocols such as REST, gRPC, protobufs
Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc
Strong oral and written interpersonal skills
Prior experience in mapping or geospatial domain will be a plus
Benefits:
Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
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
The expected range of pay for this position in San Francisco is $172,000 - $237,000 USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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