Not specified; not specified; competitive pyy, gen...
Remote
10+ years in applied ml or ai
3+ years leading ml engineering teams
Production-grade ml/ai system architecture
This role is critical to leveraging Twilio's massive data ecosystem to build foundational platform capabilities for the next generation of conversational AI
Job Summary
This role is critical to leveraging Twilio's massive data ecosystem to build foundational platform capabilities for the next generation of conversational AI.
The leader must demonstrate a strong bias for action by establishing a high-performing engineering setup that enables rapid iteration and deployment of models.
Twilio offers competitive pay, generous time off, ample parental and wellness leave, healthcare, and a retirement savings program.
Matching Summary
This role is critical to leveraging Twilio's massive data ecosystem to build foundational platform capabilities for the next generation of conversational AI.
Salary
Not specified; Not specified; Competitive pay, generous time off, parental leave, healthcare, retirement savings
Skills & Requirements
Must-have
10+ years in Applied ML or AI
3+ years leading ML engineering teams
Production-grade ML/AI system architecture
LLM orchestration and embedding models
ML Ops and LLM Ops patterns
Cloud-based services on AWS GCP or Azure
Nice-to-have
Master's or Ph.D. in Computer Science
Publications at top ML conferences
Experience with conversational AI agents
Geographically distributed work experience
Open-source contributions
Key Requirements
Bachelor's degree in Computer Science or Engineering
10+ years of experience in Applied ML or AI
3+ years of leadership experience managing ML teams
Deep expertise in LLM orchestration and vector stores
Experience recruiting and scaling high-performing teams
Work Rights
Must be based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, New Delhi)