Staff Machine Learning Engineer

Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration.

Identify opportunities to leverage small language via fine-tuning/distillation.

Build ML systems that hold up at Twilio scale.

Set standards and tooling for building evals across a range of AI/ML capabilities.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.

Proficiency in Python programming language.

Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.