Overview

As Twilio’s Machine Learning Engineer on the Conversation Intelligence team, you design AI-powered features to make customer conversations smarter. You will build and deploy end-to-end ML solutions at scale, collaborating with experienced practitioners to ship real features from pipelines to production inference. You’ll monitor performance against SLOs and contribute to code quality through thoughtful reviews. This role blends impactful ML work with a remote-first culture and integral collaboration.

Compensaciones / Beneficios

- competitive pay
- generous time off
- parential and wellness leave
- healthcare
- retirement savings program

Responsabilidades

- Design and develop ML solutions ensuring accuracy, performance, security, and scalability
- Build and maintain end-to-end AI/ML pipelines from data ingestion to deployment
- Instrument services with metrics, logging, and telemetry to monitor model health against SLOs




- Participate in on-call rotations and manage production inference health with progressive rollouts
- Collaborate across planning, design, and code reviews to raise overall code quality

Requisitos principales

- 2+ years of experience in ML engineering or applied ML
- Proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX)
- Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy
- Experience deploying ML services in cloud environments (AWS, GCP, or Azure)
- Experience working with Large Language Models within software systems
- Excellent written and verbal communication skills

- clear communication
- team collaboration
- problem solving
- Python
- PyTorch
- TensorFlow

📌 Machine Learning Engineer - españa
🏢 Twilio
📍 España