Staff, Machine Learning Engineer (L4)

We’re shaping the future of communications at Twilio, a company that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide to craft personalized customer experiences.

As a Staff Machine Learning Engineer, you will scope, design, and deploy machine learning systems into the real world, partnering with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.

Responsibilities:

• Build and maintain scalable machine learning solutions in production
• Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness
• Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
• Work closely with data platform teams to build robust scalable batch and realtime data pipelines
• Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models
• Drive high engineering standards on the team through mentoring and knowledge sharing
• Uphold engineering best practices around code reviews, automated testing and monitoring

Qualifications:

• 7+ years of applied ML experience with proficiency in Python
• Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning
• Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment
• Track record of designing and architecting large scale experiments and analysis to inform product roadmap
• Clear understanding of frameworks like PyTorch, TensorFlow, or Keras
• Familiarity with ML Ops concepts related to testing and maintaining models in production
• Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains
• Experience working in an agile team environment with changing priorities
• Experience of working on AWS

Desired:

• Experience with Large Language Models

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.