Twilio

Twilio

Machine Learning Engineer

Remote (Worldwide)RemotePosted Today
Full TimeSeniorRemote

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Job Description

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of deve

Key Highlights

  • Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
  • Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions
  • Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs
  • Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
  • Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback

Qualifications

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience
  • 2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.
  • Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)
  • Proficiency in Python (preferred) or similar OO language.
  • Experience utilizing Large (or Small) Language Models within software systems.
  • Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Skills & Technologies

Machine LearningPythonPyTorchTensorFlowNLPAWSGCPAzure

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

Remote (Worldwide)

Work Mode

Remote

Posted

Today