See yourself at Twilio

Join the team as our next Machine Learning Engineer - Central AI!

Who we are & why we’re hiring

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

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

About the job

The Central AI team is a specialist team with high-leverage end-to-end machine learning expertise. We partner with teams across Twilio to solve business-critical problems with AI. We do this by building/operating shared AI infrastructure and services for the long term. 

We are looking for a Machine Learning Engineer who is passionate about building, training, scaling, and operating machine learning models that service planet-scale traffic across Twilio. 

Operating from within the Central AI team, this candidate will have the opportunity to impact teams around he company, and tackle challenging, real-world problems by building and scaling model training and model serving infrastructure, building and training highly performant ML models in domains ranging from fraud / anomaly detection, pseudonymization, to attribute prediction.

Responsibilities

In this role, you’ll:

• Build and maintain scalable machine learning solutions in production
• Train and validate both deep learning-based and statistical-based models considering complexity, performance, and robustness
• Work closely with software engineers, build tools to enhance productivity and to ship and maintain ML models
• Demonstrate end-to-end understanding of applications and develop deep a understanding of the “why” behind your models & systems
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
• Drive high engineering standards on the team through code review, automated testing, and mentoring.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also 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!

Required:

• BS or BS-equivalent experience in Computer Science or related field
• In-depth knowledge of foundational building blocks of modern deep learning
• 5+ years of applied ML experience, or 3+ years and a Master’s degree
• Track record of building, shipping and maintaining machine learning systems in a fast paced environment.
• Demonstrated ability to pick up, understand, and operate effectively in new application / business domains
• Hands-on experience with containers
• Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring
• Proficiency in Python (preferred) or similar OO language.

Desired:

• Exposure to Java, C/C++
• Familiarity with Infrastructure-as-Code tools such as Terraform
• Experience operating in a Kubernetes-based environment
• Understanding of embedding approaches

Location 

This role will be based in our Spain office. 

This role will be remote within Spain or in Madrid with flexible work-from-home.

Approximately <5% travel is anticipated. 

What We Offer

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. 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.