Machine Learning Software Engineer, Lyft

• B.S., M.S., or Ph.D. in Computer Science and experience in distributed systems and machine learning
• Passion for building scalable and extensible solutions for machine learning development and productionisation towards short term and long term business and user impact
• Proficiency in Python, Golang, or other programming language
• Excellent communication skills
• Strong understanding of Machine Learning fundamentals, including supervised learning, large language models, forecasting, recommendation systems and reinforcement learning

Desirable

• As a machine learning software engineer, you will be developing production machine learning models that drive safer touch points and higher quality support experiences for both riders and drivers.
• You will be working on a wide array of challenges ranging from large scale distributed model training, large language model development, automating machine learning model lifecycle, implementing model monitoring, enabling reinforcement learning and much more.
• You will work with modelers across the company and build infrastructure to incorporate the rapid developing needs in various domains
• Partner with Machine Learning Engineers, Data Scientists, Software Engineers and Product Managers to develop advanced systems for business and user impact
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
• Evaluate when to build and when to reuse existing components including open source solutions
• Continuously research and stay updated with the latest advancements in machine learning and natural language processing
• Participate in code reviews, provide constructive feedback, and uphold best practices in ML engineering
• Create and maintain comprehensive documentation for models, experiments, and processes
• Write production quality code that scales with use
• Help establish roadmap and architecture based on technology and our needs