Machine Learning Engineer - Twilio

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes.
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See yourself at TwilioJoin the team as Twilio's next Machine Learning Engineer.About the jobThis position is to design and engineer AI powered features that makes every customer conversation smarter.
As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale.
You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers.ResponsibilitiesIn this role, you'll: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 decisionsInstrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOsParticipate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthyCollaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedbackQualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.
If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.
We are always looking for people who will bring something new to the table!
*Required:Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience2+ 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.Desired:Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production contextExposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAIFamiliarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring.LocationThis role will be remote from Spain.Travel We prioritize connection and opportunities to build relationships with our customers and each other.
For this role, you may be required to travel occasionally to participate in project or team in-person meetings.What We OfferWorking at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.
Offerings vary by thinks big.
Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.
That's why we seek out colleagues who embody our values — something we call Twilio Magic.
Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
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