Lyft is looking to improve business operations in Lyft's Marketplace by designing AI driven data analytics platforms, data pipelines and metric governance systems that business leaders use for strategic decisions and to enable running the business more efficiently.
Requirements
- 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go)
- AI Experience in Agentic workflows, Model Evaluation, Causal models and Anomaly detection
- You have experience defining API schemas and developing backend services in a microservices environment
Responsibilities
- Design AI driven data analytics platforms, data pipelines and metric governance systems
- Help define the roadmap and architecture based on technology and business needs
- Drive AI innovation for business analytics and operations
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Lead projects from idea to positive execution
- Incorporate considerations for business context and failure modes in your work
Other
- Have a good grasp and ability to explain the various tradeoffs made in decisions
- Proactively participate in resolving ongoing incidents
- Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
- Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
- When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
- You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
- You have a history of going out of your way to help out your fellow engineer to make them more productive
- 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, Wednesdays, and Thursdays.
- Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
