Machine Learning Software Engineer

Who you are

• 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
• 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)

What the job involves

• 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
• 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
• 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

Benefits

• Great medical, dental, and vision insurance options
• Mental health 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
• Family building benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program