Lead 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.C. 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.

The Role

We’re looking for a Lead ML Engineer with strong technical expertise and proven leadership skills. Beyond building robust, scalable, and maintainable systems, you’ll be responsible for growing and mentoring a high-performing ML team, leading cross-functional projects, and managing stakeholders.

You’ll set the technical direction, ensure engineering excellence, and create an environment where engineers can thrive. From recommendations and search to marketing optimization and process automation, your work will shape the future of ML at Fever.

What You'Ll Do

• Drive the design, implementation, and delivery of scalable ML systems, from data ingestion and model development to deployment and production performance.
• Oversee and ensure reliability of distributed, event-driven systems handling 1000+ requests per second.
• Define best practices in ML engineering, ensuring clean architecture, testability, and long-term maintainability.
• Hire, mentor, and grow a team of ML engineers, fostering a collaborative and high-performance culture.
• Collaborate closely with Data Engineering and Data Science teams to ensure strong data foundations, seamless model integration, and shared impact.
• Provide technical and strategic leadership in ML projects, aligning priorities with business goals.
• Act as a bridge between engineering, product, and business stakeholders: translating requirements, managing expectations, and delivering impact.
• Collaborate with DICE, Onebox, and other Fever group teams to strengthen the Fever ecosystem.

What We’Re Looking For

• Strong software engineering and ML expertise, with hands-on experience in Python, productionizing models, and building scalable systems (event-driven architectures, microservices, APIs, and databases).
• Solid experience with cloud and container orchestration (AWS, Docker, Kubernetes), modern ML/engineering tooling (e.g., Airflow, MLFlow) , CI/CD and observability.
• Proven ability to set engineering best practices, ensuring reliability, performance, and long-term maintainability of ML solutions.
• Experience leading engineering projects, setting direction, and coordinating stakeholders.
• Track record of hiring, mentoring, and growing engineering teams.

Bonus Points For

• Experience with ML platforms (MLFlow, MetaFlow, DeepNote) and search/streaming technologies (ElasticSearch, Kafka, Flink, Spark Streaming).
• Building and shipping recommender systems, ranking services, or marketplace ML solutions at scale.
• Hands-on experience with marketing APIs (Meta, Google) or similar integrations.
• Side projects or open-source contributions in data-driven 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.
• Leadership is hands-on and collaborative, setting the pace through initiative, example, and accountability.

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.Eu |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