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About the Role
Are you ready to shape the future of global communications? Twilio is looking for a Machine Learning Engineer to join our Conversation Intelligence team. In this role, you will design and engineer AI-powered features that make every customer interaction smarter, extracting meaningful insights from voice and messaging data at a massive scale.
Why Join Twilio?
At Twilio, we empower millions of developers and hundreds of thousands of businesses to craft personalized customer experiences. As a remote-first organization, we foster a culture of global inclusion and connection. You will work alongside experienced ML practitioners to ship real-world features—from model pipelines to production inference—that directly impact how businesses understand their customers.
While we operate as a remote-first company, you will have the opportunity to build relationships through occasional in-person team gatherings, functional off-sites, or customer meetings.
Key Technical Responsibilities
- check_circle Design and develop machine learning solutions with a focus on accuracy, performance, security, and scalability.
- check_circle Implement and maintain end-to-end AI/ML pipelines, covering data ingestion, feature engineering, model development, validation, and deployment.
- check_circle Instrument AI/ML services with metrics, logging, and telemetry to monitor operational health and model performance against defined SLOs.
- check_circle Participate in on-call rotations, executing progressive rollouts and applying mitigation strategies to maintain production inference services.
- check_circle Collaborate across planning, design, and code review phases to contribute to technical discussions and elevate overall code quality.
Prerequisites & Qualifications
- check Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience.
- check 2+ years of experience in machine learning engineering or applied ML.
- check Demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX).
- check Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.
- check Experience developing, testing, and deploying ML services in a collaborative environment, including model versioning and cloud-based infrastructure (AWS, GCP, or Azure).
- check Experience utilizing Large (or Small) Language Models within software systems.
- check Excellent written and verbal communication skills for both technical and non-technical audiences.
About Twilio Greenhouse Board
Verified hiring organization details.
Twilio Greenhouse Board operates as a recruitment platform and hiring framework utilized by Twilio for managing talent acquisition and candidate pipelines in the technology and software sector. Twilio itself is a prominent cloud communications platform provider that enables developers to build, scale, and operate real-time communications within software applications.