See yourself at Twilio
Join the team as Twilio’s next Staff Machine Learning Engineer (Remote, Spain)
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 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.
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.
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:
- 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.
Desired:
- Expertise in Natural Language Processing & Understanding.
- Understanding of Embeddings approaches
- Expertise in Automated Speech Recognition
Location
This role will be remote, and based in Spain.
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.
