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Twilio

Machine Learning Engineer

Twilio · Remote - Ireland

Posted about 3 months ago

or apply directly on Twilio's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Twilio's roles stay open a median of 79 days
Reposted
No
Salary listed
No
47% of Twilio's roles list one
Ghost-job risk at Twilio
high
147 stale, 14 reposted of 158 open
Hiring momentum
277 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Twilio's own greenhouse board since 2026-08-03. Full hiring picture for Twilio.

About this role

As a Machine Learning Engineer at Twilio, you will design and engineer AI-powered features to enhance customer conversations. Your role involves developing and deploying machine learning solutions, maintaining AI/ML pipelines, and collaborating with team members to ensure high-quality code and model performance. You will also participate in on-call rotations and contribute to technical discussions across the development process.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Twilio as an employer.

What you need

  • 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 (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
  • Proficiency in Python (preferred) or similar OO language

Nice to have

  • Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context
  • Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI
  • Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring

What you get

  • Competitive pay
  • Generous time off
  • Ample parental and wellness leave
  • Healthcare
  • Retirement savings program

Worth weighing

  • Remote work with occasional travel for team meetings
  • No specific salary or compensation details provided
  • Vague mention of 'competitive pay' without specifics

Summarised from Twilio's posting. Read the full original.

Listed by Twilio on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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