Principal, Machine Learning Engineer (L5)

Overview

Build foundational AI/ML capabilities for Twilio's Customer Memory Team to power intelligent engagement experiences. Lead research and production-grade experimentation for contextual intelligence and large-scale ML problems.

What you'll do

• Build new functionality within a fast-moving product seeing rapid adoption.
• Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
• Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
• Build ML systems that hold up at Twilio scale.
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
• Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
• Raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.

What you'll need

• 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
• Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
• Proficiency in Python programming language.
• Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
• Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
• Strong fundamentals of statistical machine learning algorithms, transformer models, and LLMs.
• Experience in building cloud-based services using AWS, GCP, or Azure.
• Strong communication skills and highly effective collaboration skills to work well with teammates.

Nice to have

• Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
• Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
• Prior experience working in a globally distributed team.

Details

• Remote role based in India: Karnataka, Tamil Nadu, Telangana State, Maharashtra, and New Delhi.
• You may be required to travel occasionally to participate in project or team in-person meetings.
• You may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites, or customer meetings.