Staff Machine Learning Engineer

February 27

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Logo of Twilio

Twilio

Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

telecommunications • API • cloud communications • SaaS • telephony

5001 - 10000 employees

📋 Description

• Join Twilio’s Efficiency Engineering team as Staff Machine Learning Engineer • Develop supervised ML models and GenAI/LLM-powered applications • Work on groundbreaking projects impacting customer efficiency and success • Collaborate with talented professionals passionate about AI and Machine Learning.

🎯 Requirements

• 5+ years of applied ML engineering experience • Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications • Collaborate closely with product, program, analytics, and engineering teams • Utilize technical stack including Python, SQL, R, AWS, MySQL, and libraries like Pandas • Effectively utilize enterprise data sources like Salesforce and Zendesk • Apply knowledge of Large Language Models (LLMs) and develop innovative Gen AI use cases.

🏖️ Benefits

• generous time-off • ample parental and wellness leave • healthcare • a retirement savings program • other benefits vary by location.

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