Senior Machine Learning Engineer, Personalization, Magenta
Tasks
- Collaborate with Product Engineering and Design
- Create evaluation frameworks
- Debug complex model tool interactions
- Design and ship machine learning systems
- Develop agentic workflows
- Ensure performance latency and reliability
- Handle ambiguity at scale
- Implement LLM as judge pipelines
- Implement memory and context management
- Improve agent behavior using feedback loops
- Interpret user intent
- Manage multi turn context
- Measure model quality
- Orchestrate multi step tools
- Support production experimentation and iteration
Perks/Benefits
- 401k retirement plan
- Health insurance
- Monthly meal allowance
- Paid flexible holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Work from home flexibility
Skills/Tech-stack
Agentic AI | Context Management | Conversational AI | Evaluation Pipelines | Experimentation | Intent Recognition | LLM-as-judge | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Multi-turn dialogue | Natural Language | Natural Language Processing | Reliability Engineering | Tool orchestration
Education
N/A
Regions
Countries
States
Cities
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