Machine Learning Engineer 2

Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers…

Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking.

Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression…

Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces.

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

Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands.

A curious approach to service management: ability to investigate how systems actually behave in production…

Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn.