[ engineering ]
Machine Learning Engineer, Safety and Customer Care Ai
Lyft- Location
- Toronto, Canada
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Lyft. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Machine Learning Engineer on the Safety and Customer Care AI team at Lyft. This role involves fine-tuning and aligning open-source LLMs for specific use cases, building AI-powered support agents, and developing evaluation frameworks to ensure safety and quality for customer-facing applications.
Skills and focus areas
- machine learning
- large language models
- fine-tuning
- model alignment
- reinforcement learning from human feedback
- reinforcement learning from ai feedback
- reinforcement learning from human preferences
- agentic frameworks
- evaluation
- data curation
- data processing
- python
Summary written by Ramai from the original posting. Full details and requirements are on Lyft’s careers page.
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