Senior ML Engineer, Customer Memory (Remote)

Twilio Inc.; San Francisco (CA); Remote; USD 136,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k)

Paid sick time

Paid personal time off

Paid parental leave

Job summary

Twilio Inc. is seeking a Machine Learning Engineer for Customer Memory to build and scale pipelines that convert raw conversation data into structured memory. You will ensure accurate memory as the product evolves, and you’ll work on the memory layer behind Twilio’s Conversational AI platform.

You’ll focus on high-quality extraction, fast retrieval, and robust evaluation. You’ll collaborate with Product and ML teams to translate customer problems into system changes, and you’ll contribute to

Qualifications

• Backend services experience with production systems.
• Curious about service management, observability, and reliability.
• Experience with evaluation/quality metrics in ML/AI.
• Familiarity with AI-assisted dev tools and code generation.
• Willingness to learn new languages and frameworks.

Responsibilities

• Build pipelines to convert raw data into structured memory.
• Own retrieval path using embeddings, vector search, and ranking.
• Contribute evaluation systems with quality metrics and benchmarks.
• Diagnose production issues across ingestion, extraction, and indexing.
• Collaborate with Product and ML teams to translate problems into changes.

Skills

Backend development

Observability

Quality metrics

AI tooling

Go/Python

Kafka

LLM integration

ML deployment

Tools

Kafka

Job description

Twilio Inc. is seeking a Machine Learning Engineer for Customer Memory to build and scale pipelines that convert raw conversation data into structured memory. You will ensure accurate memory as the product evolves, and you’ll work on the memory layer behind Twilio’s Conversational AI platform.

You’ll focus on high-quality extraction, fast retrieval, and robust evaluation. You’ll collaborate with Product and ML teams to translate customer problems into system changes, and you’ll contribute to