Machine Learning Engineer

Twilio; Spain (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Twilio in Spain is seeking a Machine Learning Engineer to design and deploy AI-powered features for smarter customer conversations at scale. You will work on the Conversation Intelligence team, building pipelines from data ingestion to production inference, collaborating with experienced ML engineers.

The role emphasizes experimentation, model validation, and measurable impact, using Python, PyTorch/TensorFlow, and NLP tools, with remote-first policy and occasional in-person meetings.

Qualifications

• Degree or equivalent in a quantitative field with strong analytical skills.
• 2+ years in ML engineering with Python and ML frameworks.
• Experience deploying ML services and using cloud infrastructure.
• Proficiency in Python and familiarity with NLP libraries.
• Experience with LLMs and production-grade AI/ML pipelines.
• Strong written and verbal communication; able to explain complex ideas.

Responsibilities

• Design and develop ML solutions with emphasis on accuracy, performance, security and scalability.
• Build and maintain end-to-end AI/ML pipelines from data to deployment.
• Instrument services with metrics, logging and telemetry to monitor health against SLOs.
• Participate in on-call rotations and manage production inference reliability.
• Collaborate across planning, design and code reviews to improve code quality.

Skills

Python

Machine Learning

NLP libraries

Model deployment

Cloud infrastructure

Communication skills

LLMs

Education

Bachelor's degree in Computer Science/Math/Statistics or equivalent

Tools

PyTorch

TensorFlow

JAX

Hugging Face Transformers

NLTK

SpaCy

AWS

GCP

Azure

Job description

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions tohundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
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Hiring and how we work :

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
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See yourself at Twilio

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

About the job

This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you’ll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You’ll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers.

Responsibilities

In this role, you’ll:

• Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
• Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions
• Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs
• Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
• Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to 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:

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience
• 2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.
• Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)
• Proficiency in Python (preferred) or similar OO language.
• Experience utilizing Large (or Small) Language Models within software systems.
• Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context
• Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI
• Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring.

Location

• This role will be remote from 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

Working at Twilio offers many benefits, including competitive pay, 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.

Twilio is proud to be an equal opportunity 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

International - Self-Identification of Demographic Information

Twilio invites you to self-identify certain personal demographic information to help continue our mission to foster inclusivity in our workplace. Completing this survey is voluntary, but we do hope that you will participate because your responses help us measure the effectiveness of our outreach and recruitment activities. Responding is completely optional and voluntary and will not be used for the purposes of any employment decision. Any information you provide is confidential and is not accessible by recruiters, hiring managers or the interview team at any time. This data is collected, stored and otherwise processed in accordance with legal requirements.

We hope you will join us in our commitment and enthusiasm for making Twilio a place where everyone belongs!

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