Senior Machine Learning Engineer, Personalization
Tasks
- Balance experimentation with production rigor
- Build LLM as judge evaluation pipelines
- Build user intent interpretation systems
- Create evaluation frameworks
- Design and ship production machine learning systems
- Develop agentic workflows
- Ensure performance latency and reliability
- Handle ambiguity reliably at scale
- Implement memory and context management
- Improve agent behavior via feedback loops
- Manage context across multi turn interactions
- Measure model quality and guide iteration
- Orchestrate multi step tool workflows
- Partner with Product, Engineering, and Design
Perks/Benefits
- 401k retirement plan
- Health insurance
- 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 | Experimentation | LLM-as-judge | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Multi turn Context Management | Multi-step reasoning | Natural Language | Natural Language Processing | Reliability Engineering
Education
N/A
Regions
Countries
States
Cities
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