Principal Machine Learning Engineer

Twilio is seeking a Principal Machine Learning Engineer with a strong Data Science, Machine Learning & Predictive Modeling background to expand and enhance our Efficiency Engineering team's AI function. This role involves developing cutting-edge solutions leveraging AI & Data Science for external and internal customers. You'll be instrumental in developing supervised machine learning (ML) propensity models and state-of-the-art GenAI/LLM-powered applications, catering to Twilio's diverse verticals and extensive customer base.

Key responsibilities include:

• Developing and deploying predictive models, including propensity models and GenAI-powered applications
• Collaborating with product, program, analytics, and engineering teams
• Utilizing advanced technical stack (Python, SQL, R, AWS, MySQL, Airtable, and various libraries)
• Integrating enterprise data sources like Salesforce and Zendesk
• Applying knowledge of Large Language Models (LLMs) to develop innovative GenAI solutions

Required qualifications:

• 6+ years of experience in data science, focusing on LLMs and supervised ML models
• Proficiency in Python or R, and experience with data science frameworks
• Strong understanding of data processing and transformation techniques
• Experience with cloud platforms and containerization tools
• Excellent problem-solving and communication skills

This remote role is based in Colombia and involves approximately 15% travel. Twilio offers competitive pay, generous time-off, healthcare, retirement savings program, and other benefits. The company values diversity, inclusion, and encourages employees to make a positive impact in their communities.