Machine Learning Engineer, L3

🔥 4 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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Logo of Twilio

Twilio

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 rapidly adopted product • Turn ambiguous ideas into rigorous experiments and execute them within weeks • Conduct 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

• 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 • Experience with high-volume data, streaming or real-time inference paths, and a range of data stores • Deep expertise in production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores • Strong fundamentals of statistical machine learning algorithms, transformer models, and LLMs • Ability to raise the technical bar through mentorship, design review, and standards without formal management authority • Strong communication skills and effective collaboration • Prior experience building autonomous agents handling multi-turn conversations and long-term context/consistency is desired • Strong background in predictive modeling on user behavior, experiment design, and causal or counterfactual methods is desired • Prior experience working in a globally distributed team is desired

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare • Retirement savings program • Remote-first work • Support for employee volunteering and donation efforts

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