Description
At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
As a Machine Learning Engineer III in Twilio's Customer Memory Team, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large-scale ML problems, ensuring every interaction feels seamless and personalized.
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:
- 5+ years applied ML/AI experience with a track record of owning technically ambitious systems end-to-end.
- 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.
- Strong communication skills and highly effective collaborator who works well with teammates.
Location: Remote - India (Karnataka, Tamil Nadu, Telangana State, Maharashtra, and New Delhi).
What We Offer: Competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.