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Job Description
Twilio is seeking a Staff Machine Learning Engineer to join their Efficiency Engineering team. This role involves developing cutting-edge AI solutions for both external and internal customers, leveraging data science, machine learning, and predictive modeling techniques.

The Staff Machine Learning Engineer will be responsible for building and deploying machine learning models, collaborating with cross-functional teams, and integrating enterprise data sources. They will also apply knowledge of Large Language Models (LLMs) to develop innovative GenAI use cases.

Responsibilities:
  • Develop and Deploy AI/ML Models
  • Collaborate Across Teams


Requirements:
  • 5+ years of applied ML engineering experience.
  • Experience building and deploying machine learning models.
  • Experience work closely with product, program, analytics, and engineering teams.
  • Experience utilizing a technical stack, including Python, SQL, R, AWS.
  • Experience integrating enterprise data sources like Salesforce and Zen desk.
  • Experience harnessing the Power of LLMs.


What role offers:
  • Generous time-off, ample parental and wellness leave, healthcare, a retirement savings program.
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Twilio

Twilio is a communication platform as a service (CPaaS) company that empowers businesses and developers to build personalized customer experiences. It provides a cloud-based platform with a suite of APIs and tools for various communication channels, including SMS, WhatsApp, and voice. Twilio focuses on delivering innovative solutions that enable businesses to connect with their customers effectively and ensure regulatory compliance in global communications. The company emphasizes a remote-first work environment with a strong culture of inclusion.

All Jobs at Twilio (91)