Tech Stack

Description

You will build AI Platform components for real-time, online, and offline ML model execution, development, and iteration, directly impacting systems across Lyft's business by leveraging GenAI and platform building expertise.

Requirements

• BSc/MSc in Computer Engineering, Computer Science, Machine Learning or related field (or equivalent experience)
• 5+ years ML engineering experience with Python, Go, or Java
• Experience with ML serving/training/deployment infrastructure and cloud providers (AWS, Azure, GCP)
• Familiarity with GenAI ecosystem: LLMs, prompt engineering, MCP, RAG
• Hands-on experience with LLM fine-tuning techniques (e.g., PEFT, LoRA) and deploying self-hosted LLMs

Responsibilities

• Contribute to roadmap and architecture based on technology and business needs
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Build features from tech specification to positive execution
• Proactively participate in resolving ongoing incidents