Software Engineer

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. 

We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft's system responsible for providing routes for every ride request on our platform. We process millions of route requests per day and low latency, high reliability and high accuracy are paramount for our success. 

If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. 

Our technology stack runs on AWS, Kubernetes, Go, Python/C++, Apache Airflow, Flink, and Kafka. We use AI to improve development productivity, optimize customer support workflows, and enhance operational efficiency — all without compromising code quality or security. 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:

• Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions
• Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance
• Develop statistical, machine learning, or optimization models
• Write production quality code that can scale well to serve millions of requests per day
• Participate in code reviews, design reviews, production on-call support and incident triaging process.
• Write well-crafted, well-tested, readable, maintainable code

Experience:

• B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
• 3+ years of Machine Learning experience
• Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark/Flink
• Proficiency in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Ability to work in distributed teams spread across time zones. (EST and PST)

Benefits: