Opportunity Description
Join Lyft as a Machine Learning Engineer to drive innovative AI solutions in a hybrid work environment. You'll build and deploy impactful ML systems that enhance transportation experiences.
This role is designed for a technically versatile individual eager to explore various domains like dynamic pricing, fraud detection, and agentic AI systems. By collaborating with Data Scientists, Product Managers, and Software Engineers, you'll turn complex business challenges into practical ML applications. Your work will directly shape Lyft Business's growth and efficiency.
Key Responsibilities:
• Develop and deploy ML models for dynamic pricing and fraud detection
• Build agentic AI systems for automating decision-making
• Design feature pipelines and model training workflows
• Partner with Data Scientists for production scalability
• Evaluate ML performance against business KPIs
Requirements:
• Experience with GenAI / LLM...
This role is designed for a technically versatile individual eager to explore various domains like dynamic pricing, fraud detection, and agentic AI systems. By collaborating with Data Scientists, Product Managers, and Software Engineers, you'll turn complex business challenges into practical ML applications. Your work will directly shape Lyft Business's growth and efficiency.
Key Responsibilities:
• Develop and deploy ML models for dynamic pricing and fraud detection
• Build agentic AI systems for automating decision-making
• Design feature pipelines and model training workflows
• Partner with Data Scientists for production scalability
• Evaluate ML performance against business KPIs
Requirements:
• Experience with GenAI / LLM...
Interested in this opportunity? Apply now through Expertini.
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