The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

The role involves designing and maintaining low latency streaming systems, enhancing data platforms, and collaborating with teams to improve architecture and operations.

Manage and optimize advertising campaigns, collaborate with sales teams, analyze data for performance insights, and implement campaign improvements.

Manage and develop a team of engineers focused on creating mapping experiences, mentor staff, prioritize projects, and ensure high-quality product deliveries.

Manage a team of engineers, setting technical vision, co-owning product strategy, mentoring team members, and ensuring timely, quality deliverables.

The intern will support market strategy development, analyze customer insights, collaborate with cross-functional teams, and drive marketing initiatives for business growth at Lyft.

The Paid Media Marketing Intern will leverage analytical insights to optimize media budgets, support campaign execution, and communicate performance results.

The role involves analyzing rideshare marketplace behaviors to inform business strategies, leveraging data for insights, and partnering across teams to drive impact.

The Marketing MBA Intern will support shaping marketing strategies, drive go-to-market initiatives, and collaborate with cross-functional teams to enhance customer engagement and growth.

The Algorithms Scientist will design and deploy machine learning models for Lyft Ads, improve ad performance through data analysis and collaborate with various teams for model integration and monitoring.

The Senior Data Scientist will lead machine learning initiatives for Lyft Ads, designing and deploying models to enhance ad performance and marketplace efficiency.

The Communications Intern will assist Lyft’s Communications team by tracking media coverage, analyzing campaign impact, and optimizing communication strategies while gaining hands-on experience in corporate communications.

Lead the mapping team at Lyft to innovate Rideshare experiences through AI technology, build product roadmaps, and manage cross-functional teams.

Lead machine learning initiatives for Lyft Ads, developing and deploying algorithms for ad relevance and optimization while collaborating across teams to improve performance and revenue.

The Software Engineer will enhance Lyft's mapping experiences by collaborating across teams, leading projects from design to execution, and writing maintainable, tested code.

Lyft seeks a Senior Software Engineer to help establish architecture, write maintainable code, and lead projects. The role involves collaborating with various teams and improving mapping technologies for enhanced user experiences.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

The Algorithms Scientist at Lyft Ads will design, develop, and deploy machine learning models for ad relevance and optimization, collaborating across teams to enhance performance and revenue growth.

As an Algorithms Scientist, design and deploy machine learning models to optimize Lyft Ads operations, collaborating across teams to enhance ad performance and efficiency.

The role involves creating cultural relevance for Lyft through innovative communication strategies, building community involvement, and executing impactful marketing campaigns.