Director, Machine Learning Engineering
CA Palo Alto Office, United States
USD 150K-300K Executive-level Full Time
Tasks
- Build and scale engineering and ML teams
- Build context building systems
- Build high-scale, low-latency systems
- Communicate technical concepts to stakeholders
- Define runtime intelligence roadmap
- Design memory architectures
- Develop personalization frameworks
- Develop retrieval systems
- Ensure systems observability and reliability
- Establish runtime intelligence KPIs
- Hire, coach, and develop talent
- Implement RAG based architectures
- Implement feedback loops for improvement
- Lead cross-functional execution
- Manage prioritization and trade-offs
- Optimize runtime performance and cost
- Oversee end-to-end platform delivery
- Partner with Product and Data teams
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Context orchestration | Cost Optimization | Distributed Systems | Experimentation | Generative AI | KPI Management | LLM | Language Processing | Latency optimization | Machine Learning | Memory systems | Natural Language | Natural Language Processing | Observability | Platform Engineering | RAG | Real Time | Real-time Inference | Retrieval systems | Retrieval-Augmented Generation | State management | System Reliability
Education
N/A
Regions
Countries
States
Cities
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