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Staff Machine Learning Engineer - Remote

Posted 8 weeks ago
Software Development
Full Time
Worldwide
$184,500.00 - $271,300.00/year

Overview

Join Twilio as a Staff Machine Learning Engineer on the Efficiency Engineering team, where you will develop cutting-edge AI solutions to enhance customer experiences.

In Short

  • Develop and deploy AI/ML models leveraging NLP and GenAI.
  • Collaborate with cross-functional teams to refine machine learning models.
  • Utilize a technical stack including Python, SQL, and AWS.
  • Integrate enterprise data sources for model development.
  • Apply knowledge of Large Language Models (LLMs) for innovative solutions.
  • 5+ years of applied ML engineering experience required.
  • Familiarity with Python frameworks and research experience is desired.
  • Remote work with approximately 15% travel expected.
  • Competitive pay with generous benefits.
  • Be part of a diverse team making a global impact.

Requirements

  • 5+ years of applied ML engineering experience.
  • Experience in developing and deploying AI models.
  • Strong collaboration skills across teams.
  • Proficiency in Python, SQL, R, and AWS services.
  • Experience with enterprise data sources like Salesforce and Zendesk.
  • Knowledge of LLMs and GenAI applications.

Benefits

  • Competitive pay and equity plan participation.
  • Generous time-off and wellness leave.
  • Healthcare and retirement savings program.
  • Support for volunteering and community impact.
  • Inclusive and diverse work culture.
Twilio logo

Twilio

Twilio is a pioneering company in the communications sector, dedicated to transforming how businesses interact with their customers. With a strong commitment to remote-first work, Twilio empowers a diverse team of professionals to deliver innovative solutions to hundreds of thousands of businesses and millions of developers globally. The company fosters a culture of connection and inclusion, enabling employees to thrive and make a significant impact in the world of communications. Twilio values diverse experiences and encourages individuals from various backgrounds to contribute to its mission of revolutionizing customer engagement through advanced technology.

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