Staff Machine Learning Engineer

Join Twilio as a Staff Machine Learning Engineer

About Twilio

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although headquartered in San Francisco, Twilio has a global presence, including in South America, Europe, Asia, and Australia. Twilio is committed to diversity, equity, and inclusion, actively opposing racism and all forms of oppression and bias.

About the Role

As a Staff Machine Learning Engineer, you will be a key member of the engineering team, responsible for designing, building, and deploying AI-powered solutions. You will work on Twilio’s Voice and Conversations Intelligence product, contributing to the development of AI features that enhance communication capabilities.

Key Responsibilities

• Lead the design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
• Collaborate with Product Managers, Tech Leads, and other stakeholders to analyze business problems and design solutions.
• Design and implement tools and processes to evaluate the accuracy and performance of models.
• Define ML strategy for the organization, leveraging state-of-the-art Machine Learning, Deep Learning, and Generative AI.
• 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.
• Ensure a high operational standard to meet Twilio’s Service Level Objectives (SLOs) and customer expectations.

Qualifications

Required

• Strong background in the foundations of machine learning and 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 a similar object-oriented language.
• Experience utilizing Large or Small Language Models within software systems.
• Passion for machine learning and deep knowledge of the 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.

Desired

• Expertise in Natural Language Processing & Understanding.
• Understanding of Embeddings approaches.
• Expertise in Automated Speech Recognition.

Location

This role is remote and based in Ireland. Occasional travel may be required for project or team meetings.

What We Offer

Twilio offers a range of benefits, including generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and more. Twilio encourages employees to embody its values, known as Twilio Magic, and supports volunteering and donation efforts.

Twilio is an equal opportunity employer, committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in the job application process. If you need assistance or an accommodation due to a disability, please contact Twilio.