Staff Machine Learning Engineer

Responsibilities

In this role, you’ll:

• Lead the design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
• Partner with Product Managers, Tech Leads and other stakeholders to analyze business problems and design solutions.
• Design and implement tools and processes to evaluate accuracy and performance of models.
• Help to define ML strategy for the organization, leveraging state-of-the-art Machine Learning, Deep Learning and Gen AI to address the business problems.
• Work closely with software engineers to incorporate ML solutions into software and provide a quality product for customers.
• Drive high engineering standards on the team; mentor and provide technical guidance to junior and mid-level engineers, promoting best practices and coding standards.
• Ensure a high operational standard to meet Twilio’s SLOs and Customers expectations.

Required:

• Strong background in the foundations of machine learning and building blocks of modern deep learning.
• 5+ years of applied ML experience with a track record of building, shipping and maintaining machine learning models in production.
• Proficiency in Python (preferred) or similar OO language.
• Experience utilizing Large (or Small) Language Models within software systems.
• A passion for machine learning and a deep knowledge of the growing AI ecosystem.
• Familiarity with MLOps concepts related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring.
• Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.