Twilio - Staff Machine Learning Engineer (L4)
Requirements
• Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! • 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. • You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do • Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring. • Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains. • You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar • Experience working in an agile team environment with changing priorities • Experience of working on AWS • Desired: • Experience with Large Language Models • Location • This role will be remote, and based in India • Travel • We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
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
Benefits
• 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. Offerings vary by location. • Twilio thinks big. Do you? • We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. • So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.
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