Description
At Twilio, we're shaping the future of communications. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Join the team as our next Principal Machine Learning Engineer in Twilio's Customer Memory Team. In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers.
Responsibilities:
- Build out 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.
Qualifications:
- Required:
- 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, LLMs.
- Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
- Experience in building cloud-based services using AWS, GCP, or Azure.
- Strong communication skills and highly effective collaborator who works well with teammates.
- Desired:
- 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.
Location: This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.
What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.