About The Job:
- This position is critical to leveraging Twilio’s massive data ecosystem and communication scale.
- You'll build foundational platform capabilities for the next generation of conversational AI.
- You will empower developers to build sophisticated, context-aware customer engagement applications.
Responsibilities:
- Collaborate with other engineering teams and cross functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap for your team.
- Have a 'player-coach' mentality, and contribute hands-on technical expertise while providing strategic direction and mentorship to the team.
- Establish a high-performing engineering setup that enables the team to rapidly iterate, experiment, and deploy models.
Qualifications:
- 10+ years of experience in Applied ML or AI, including 3+ years of either leading a team of Machine Learning Engineers or data scientists.
- Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of LLM orchestration, embedding models, and vector stores.
- Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.
Twilio
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses. They empower millions of developers worldwide to craft personalized customer experiences, emphasizing a remote-first culture with a vibrant and globally inclusive team.