Staff Machine Learning Engineer

2 weeks ago

London, Greater London, United Kingdom Twilio Full time
Join the team as Twilio's next Staff Machine Learning Engineer (remote, UK)

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

At Twilio, we support diversity, equity & inclusion wherever we do business.

This position is needed to design and engineer AI powered features on Twilio's Voice and Conversations Intelligence product as part of growing our investment in utilizing artificial intelligence to support communications.

The role joins an established team of software and machine learning engineers based in the US and EMEA building these features.

As a Staff Machine Learning engineer, you'll be a pillar of our engineering team, playing a pivotal role in designing, building, and deploying the next generation of AI powered solutions as well as MLOps processes and tooling.

Lead the design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
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.
mentor and provide technical guidance to junior and mid-level engineers, promoting best practices and coding standards.
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.
~ Expertise in Natural Language Processing & Understanding.
This role will be remote, and based in the UK.
Travel
For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

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