Twilio

Twilio

Twilio is a cloud communication company that offers Communication APIs for SMS, Voice, Video, and Authentication, empowering developers to embed communication capabilities into their software applications globally.

Diversified Telecommunication Services
5K-10K
Founded 2008

Description

  • Design and develop machine learning solutions with a focus on accuracy, performance, security, and scalability.
  • Implement and maintain end-to-end AI/ML pipelines from data ingestion and feature engineering through model development, validation, and deployment.
  • Work with senior engineers on complex architectural decisions for ML systems and features.
  • Instrument AI/ML services with metrics, logging, and telemetry to monitor model performance and operational health.
  • Participate in on-call rotations and support production inference services through progressive rollouts and mitigation strategies.
  • Collaborate in planning, design, and code review discussions across product and engineering teams.
  • Contribute to product and technical discussions and help improve overall code quality through thoughtful review feedback.
  • Develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale.
  • Ship production ML features, including model pipelines and inference systems.

Requirements

  • 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.
  • Demonstrated proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, or JAX.
  • 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.
  • Experience with model versioning, experiment tracking, and cloud infrastructure such as AWS, GCP, or Azure.
  • Proficiency in Python or a similar object-oriented language.
  • Experience using large or small language models within software systems.
  • Excellent written and verbal communication skills.
  • Hands-on experience with conversational AI, LLM fine-tuning, or prompt engineering in a production context (preferred).
  • Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI (preferred).
  • Familiarity with MLOps or LLMOps tooling for testing, versioning, model registry, retraining, and monitoring (preferred).
  • This role must be based remotely in Ireland.
  • Occasional travel may be required for project or team in-person meetings.

Benefits

  • Competitive pay.
  • Generous time off.
  • Parental leave and wellness leave.
  • Healthcare coverage.
  • Retirement savings program.
  • Remote-first work environment.
  • Opportunities to support volunteering and donation efforts.

Interested in this position?

Apply directly on the company website

Apply Now

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