Machine Learning Engineer

Stack

Responsibilities

• ▹Design and develop machine learning solutions ensuring accuracy, performance, security and scalability
• ▹Implement and maintain end-to-end AI/ML pipelines from data ingestion through model deployment
• ▹Instrument AI/ML services with metrics, logging and telemetry
• ▹Participate in on-call rotations and progressive rollouts
• ▹Collaborate across planning, design and code review phases

Requirements

• ▹Bachelor's degree in Computer Science, Mathematics, Statistics or related field, or equivalent experience
• ▹2+ years of ML engineering experience with Python and at least one ML framework (PyTorch, TensorFlow or JAX)
• ▹Familiarity with NLP libraries such as Hugging Face Transformers, NLTK or SpaCy
• ▹Experience deploying ML services with cloud infrastructure (AWS, GCP or Azure)
• ▹Experience using Large/Small Language Models within software systems

Nice to have

• ▹Hands-on experience with conversational AI or LLM fine-tuning in production
• ▹Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI
• ▹Familiarity with MLOps/LLMOps tooling

Soft skills

What we offer

• ▹Competitive pay
• ▹Generous time off
• ▹Parental and wellness leave
• ▹Healthcare
• ▹Retirement savings program

About the company

Twilio is shaping the future of communications, delivering solutions to hundreds of thousands of businesses, with a remote-first, globally inclusive culture.