Overview
No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.
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 general 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 xqbhyrx (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