Description
At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower 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. You will understand customer needs, build data products that work at a global scale, and own end-to-end execution of large-scale ML solutions.
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 real-time data pipelines
- Collaborate with software engineers, build tools to enhance productivity, and 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 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.