Machine Learning Engineer (Fully Remote)

Twilio; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive pay

Generous time off

Parental leave

Healthcare

Equity

Job summary

Twilio Inc. is seeking a skilled professional to design and scale data pipelines that transform raw conversation data into structured customer memory.

You will develop extraction and retrieval components for conversational AI, with a strong emphasis on evaluation and quality benchmarking. The role focuses on building and tuning LLM prompts, managing embeddings-driven retrieval, and shaping evaluation systems to measure performance.

Qualifications

• Experience building NLP data pipelines.
• Proficiency with LLM prompts and evaluation.
• Experience with embeddings and vector search.
• Knowledge of retrieval-augmented generation and QA systems.

Responsibilities

• Build the extraction pipeline and tune LLM prompts.
• Own the retrieval path using embeddings and vector search.
• Contribute to eval systems that benchmark quality.

Skills

Extraction pipeline

LLM prompts

Vector search

Evaluation systems

Tools

Embeddings

Vector search engines

LLM platforms

Job description

• We shape the future of communications from our homes, delivering solutions to hundreds of thousands of businesses.
• We are a remote-first company with a strong culture of connection and global inclusion.

About the job:

• This role builds and scales pipelines that turn raw conversation data into structured customer memory.
• You will work on extraction, retrieval, and evaluation systems for conversational AI.
• Quality measurement is a first-class part of the work.

Responsibilities:

• Build the extraction pipeline and tune LLM prompts.
• Own the retrieval path using embeddings and vector search.
• Contribute to eval systems that benchmark quality.

What we offer:

• Competitive pay, generous time off, and parental leave.
• Healthcare, retirement savings, and equity participation.

We are shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. We are a remote-first company with a strong culture of connection and global inclusion, with a vibrant team making a global impact.