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Senior Machine Learning Engineer (L3) - Remote

Posted 2 days ago
Software Development
Full Time
India

Overview

Twilio is looking for a Senior Machine Learning Engineer to join their Comms Platform Engineering team to build and maintain scalable machine learning solutions that meet customer needs.

In Short

  • Join Twilio's remote-first team as a Senior Machine Learning Engineer.
  • Scope, design, and deploy machine learning systems.
  • Collaborate with Product & Engineering teams to execute AI/ML product roadmaps.
  • Build scalable machine learning solutions in production.
  • Train and validate deep learning and statistical models.
  • Work with data platform teams to create robust data pipelines.
  • Drive engineering best practices around code reviews and testing.
  • 5+ years of applied ML experience required.
  • Proficiency in Python preferred; familiarity with ML Ops concepts.
  • Experience working in an agile team environment.

Requirements

  • Strong background in machine learning and deep learning frameworks.
  • Experience in building and maintaining ML models in production.
  • Knowledge of AWS and modern data processing tools.
  • Ability to adapt and understand new business domains.
  • Experience with Large Language Models is a plus.

Benefits

  • Competitive pay and generous time off.
  • Ample parental and wellness leave.
  • Healthcare and retirement savings program.
  • Opportunities for professional growth and development.
  • Support for volunteering and donation efforts.
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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