SENIOR MACHINE LEARNING ENGINEER

Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment,  Our mission? To democratize access to culture and entertainment.
With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.
.
Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?  To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience?  Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
We’re looking for an experienced ML Engineer with a solid software engineering foundation who is passionate about building robust, scalable, and maintainable systems.
You’ll join the team responsible for projects like recommendations, search, marketing optimization, process automation, and much more at Fever.
What you'll do Design and implement scalable, reproducible ML pipelines — from data ingestion to deployment.
Create and serve models via RESTful APIs and asynchronous services, ensuring performance and reliability.
Automate the full ML lifecycle using tools like Airflow, MLFlow, Docker and Kubernetes.
Build and maintain distributed, event-driven systems with high throughput and low latency.
Operate services in production handling + requests per second.
Cross-functional collaboration with data scientists, data engineers, product managers, or marketing teams.
Collaborate with DICE, Onebox and other members of the Fever group to strengthen the Fever ecosystem.
What we’re looking for Python expertise.
you know asyncio, typing, testing frameworks, profiling, packaging, OOP, and design patterns.
Experience building and productionizing models.
Strong understanding of event-based communication and microservice design.
Experience with container orchestration and cloud.
Docker, Kubernetes (EKS preferred), and AWS.
Experience building and consuming RESTful APIs (FasAPI preferred).
Solid knowledge of SQL and relational databases.
Strong software engineering practices.
clean architecture, testing, monitoring, profiling, and CI/CD.
Familiarity with observability tools (logs, metrics, traces) and high-performance service tuning.
Bonus points for Experience with ML platforms like MLFlow, MetaFlow, or DeepNote.
Built and shipped recommender systems or ranking services at scale.
Experience working in a marketplace.
Hands-on experience with search engines like ElasticSearch or OpenSearch.
Experience with streaming pipelines (Kafka Streams, Flink, Spark Streaming).
Hands-on experience with marketing APIs like Meta or Google.
Side or open-source projects involving data-powered applications.
The environment Product-driven, cloud-native (AWS), fast-moving team.
We care about code quality, performance, testability, and long-term maintainability.
We hire builders.
people who like to own systems end to end and enjoy working across the stack.
Benefits & Perks Responsibility from day one and professional and personal growth Opportunity to have a real impact in a high-growth global category leader A compensation package consisting of base salary and the potential to earn a significant bonus for top performance Stock options plan 40% discount on all Fever events and experiences Home office friendly, location in Madrid or Barcelona required Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee English / Spanish Lessons  Wellhub Membership Possibility to receive in advance part of your salary by Payflow.
Thank you for considering joining Fever.
We cannot wait to learn more about you! If you want to learn more about us.
Fever's Blog | Tech.
u | TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count.
Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities.
We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here  Fever - Candidate Privacy Notice