Staff Machine Learning Engineer – L4

🔥 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 for intelligent engagement experiences • Build new functionality within a fast-moving, rapidly adopted product • Turn nebulous 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 • Acquire new technical skills and knowledge in a fast-paced, high-delivery environment • Integrate the latest AI development stacks to focus on core differentiation • Lead research cycles addressing contextual intelligence and large-scale ML problems

🎯 Requirements

• 8+ 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 • 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 • Desired: experience building autonomous agents for multi-turn conversations and long-term context • Desired: predictive modeling on user behavior, experiment design, and causal or counterfactual methods • Desired: experience working in a globally distributed team

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental leave • Wellness leave • Healthcare • Retirement savings program • Volunteering and donation support • Remote-first work arrangement • Occasional travel to project or team in-person meetings