Principal Machine Learning Engineer, L5

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔌 API

🤝 B2B

API • B2B

Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.

📋 Description

• Build foundational AI/ML capabilities powering intelligent engagement experiences for Twilio customers • Build new functionality within a fast-moving, rapidly adopted product • Turn nebulous ideas into rigorous experiments and execute them within weeks • Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization • Build ML systems operating at Twilio scale • Rapidly acquire technical skills and knowledge in a fast-paced, high-delivery environment • Leverage and integrate the latest AI development stacks to focus on core differentiation • Lead rapid research cycles addressing contextual intelligence and large-scale ML problems

🎯 Requirements

• 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

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare • Retirement savings program • Volunteering and donation support