Machine Learning Engineer, Lyft Business

Lyft

New York, NY, US
Base: $176,000-$211,200 (san francisco area); bonu...
On-site
Develop and deploy ml models in production
Build agentic ai systems with llms
Design feature pipelines and training workflows
This role involves designing and deploying ML systems across multiple problem domains including dynamic pricing, fraud detection, and agentic AI platforms

Job Summary

  • This role involves designing and deploying ML systems across multiple problem domains including dynamic pricing, fraud detection, and agentic AI platforms.
  • Candidates will partner with Data Scientists to take research prototypes from proof-of-concept to production at scale while evaluating system performance against business KPIs.
  • Lyft offers comprehensive benefits including medical insurance, 18 weeks of paid parental leave, and a hybrid work schedule requiring three days in the office per week.

Matching Summary

This role involves designing and deploying ML systems across multiple problem domains including dynamic pricing, fraud detection, and agentic AI platforms.

Salary

Base: $176,000-$211,200 (San Francisco area); Bonus/Equity: Potential equity offering and bonus not specified; Benefits: Medical, dental, vision, 401(k) match, paid time off

Skills & Requirements

Must-have

  • Develop and deploy ML models in production
  • Build agentic AI systems with LLMs
  • Design feature pipelines and training workflows
  • Partner with Data Scientists on prototypes
  • Evaluate ML performance against business KPIs

Nice-to-have

  • Experience with graph-based ML methods
  • Track record of identifying ML opportunities independently
  • Familiarity with cloud ML services like AWS SageMaker
  • Energized by variety and technical versatility
  • Contribute to team engineering standards

Key Requirements

  • Experience with GenAI / LLM ecosystems
  • Exposure to graph-based ML methods
  • Experience with pricing or fraud-related ML problems
  • Track record of scoping ML projects independently

Work Rights

Not specified

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