> Markdown version of [/jobs/ext/588393-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/588393-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Twilio - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Testing (Software), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Code Review, Python (Programming Language), Machine Learning, Language Modeling, NLTK (NLP Analysis), Tensorflow, Azure Machine Learning, Software Systems, Management of Software Versions, Data Logging, Cloud Platform System, Feature Engineering, Chatbots, Data Ingestion, Pytorch, Large Language Models, Prompt Engineering, Information Technology, HuggingFace, Machine Learning Operations, Spacy, Software Version Control - **Published:** June 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=16827b9e1e789ec7 ## About the Role Do you have experience in Software testing?, Do you have a Bachelor's degree in statistics?, * 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. Desired: * 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. ## Description In 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 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, 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. ## About Twilio **Industries:** Sales and Marketing, Telecommunications [Company profile](https://www.wearedevelopers.com/companies/3850-twilio) ### More Jobs at Twilio - [salesforce artificial intelligence architecture leadership documentation](https://www.wearedevelopers.com/jobs/ext/2000219-salesforce-artificial-intelligence-architecture-leadership-documentation) - [Engineer, Offensive Security Organization](https://www.wearedevelopers.com/jobs/ext/1992296-engineer-offensive-security-organization) - [Artificial Intelligence (AI)](https://www.wearedevelopers.com/jobs/ext/1952055-artificial-intelligence-ai) - [Senior Software Engineer (L3)](https://www.wearedevelopers.com/jobs/ext/1956800-senior-software-engineer-l3) - [Software Engineer, Platform Engineering (L2)](https://www.wearedevelopers.com/jobs/ext/1956829-software-engineer-platform-engineering-l2) ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Three years of putting LLMs into Software - Lessons learned](https://www.wearedevelopers.com/videos/1508-three-years-of-putting-llms-into-software-lessons-learned) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)