See yourself at Twilio

Join the team as Twilio’s next Machine Learning Engineer!

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 global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.

About the job

This position is needed to strengthen our existing team working on various data science, machine learning based SMS message delivery solutions to optimize Twilio’s SMS message routing near real time. You will help us build a globally scalable system to make the optimal delivery route choices for customers SMS messages, covering a multitude of different use cases.   

Responsibilities

In this role, you’ll:

• Build and maintain scalable machine learning solutions in production environments
• Train and validate mostly statistical-based models considering use-case, complexity, performance, and robustness
• 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
• Participate in the development backlog grooming and estimation processes
• Contribute to the solution design and feature ideas, betterments  
• Work with data platform teams to build robust scalable batch and realtime data pipelines
• Work with software engineers to ship and maintain ML models and products based on them
• Maintain and evolve high engineering standards on the team through mentoring and knowledge sharing
• Evolve engineering best practices around code reviews, automated testing and monitoring

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:

• 3+ years of applied ML experience
• Solid background in the foundations of machine learning
• Track record of building, shipping and maintaining machine learning models in production
• Track record of designing and architecting experiments and analysis to inform product roadmap
• Understanding of frameworks like PyTorch, TensorFlow, or Keras, what 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
• Experience with modern data pipelines and storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and experience in designing and coding with big-data components
• Readiness to participate in the on-call rotation
• Experience with working in an agile team environments
• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience

Desired:

• Experience with working on cloud ML platforms as offered by AWS, Google, Azure
• Knowledge of building blocks of modern deep learning techniques

Location

This role will be based remotely in Estonia.

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.

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.

Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodation@twilio.com.