Machine Learning Engineer @Twilio

Overview

Twilio is seeking a Machine Learning Engineer for their Conversation Intelligence team. This role involves designing and engineering AI-powered features to enhance customer communication across various channels.

Key Responsibilities

• Design and develop machine learning solutions with a focus on accuracy, performance, security, and scalability.
• Implement and maintain end-to-end AI/ML pipelines, including data ingestion and model deployment.
• Instrument AI/ML services with metrics and logging to monitor performance against defined SLOs.
• Participate in on-call rotations and execute progressive rollouts for production inference services.
• Collaborate across various teams to contribute to product and technical discussions and enhance code quality.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent experience.
• 2+ years of experience in machine learning engineering or applied ML, proficient in Python and at least one ML framework (e.g., PyTorch, TensorFlow, JAX).
• Experience with NLP libraries (Hugging Face Transformers, NLTK, SpaCy) and cloud-based infrastructure (AWS, GCP, Azure).
• Ability to articulate complex technical concepts to both technical and non-technical audiences.

Benefits

• Competitive pay and generous time-off.
• Parental and wellness leave, healthcare, and a retirement savings program.
• Support for employee volunteering and donation efforts.

Location

This role is remote-based from Spain.

How to Apply

If interested in this position, please submit your application through the official channels.

Deadline

No specific deadline mentioned.