Machine Learning Engineer

**We’re** **Fever****

Fever is the leading global tech-enabled entertainment discovery platform with a clear mission**:to inspire through live entertainment.**

Our mobile-first marketplace allows both discovery/inspiration and seamless 2-click booking. Fever has also created a media network where our online communities can look for inspiration and local information (Secret Media Network owner of media outlets like Secret NYC, Secret London or Madrid Secreto among others). **Fever and its Secret Media Network inspires over 60 million people every month to discover the best experiences in their cities.**

The preferences expressed by these communities allow us to create new experiences, which we call **“Fever Originals”**. These are proprietary experiences in which we follow a data-driven content creation strategy, using analytics to understand audiences, develop and optimize new formats. Some successful examples include the “Candlelight Concert Series” attended by over 3 million guests, the Los Angeles based “Stranger Things: The Drive-Into Experience” co-produced with Netflix, or the “Mad Hatter G&T Party”, all launched in multiple cities across the world.

Fever is a US company with a team of over 750 people, currently present in more than 80 cities, with offices in many exciting cities such as New York, Los Angeles, Chicago, London, Paris, Madrid, Barcelona, or Sydney, and is backed by leading institutional investors, including Rakuten Capital, Accel, and Atresmedia among others.

In order to pursue this objective we are looking for bar-raisers, people that want to work hard, have fun, and make history with us.

**THE ROLE**
- You'll help shape how data science is done at Fever. You'll be responsible for creating and maintaining an end to end machine learning pipeline.
- You'll work hand in hand with data scientists and data engineers helping on the experiment setup and model design.
- You'll bring to production models that will have a direct impact on the end user experience.
- You'll enforce best practices in data usage and model building.

On your first month in Fever:

- You will be fully integrated into the team. During this month you will have already participated in onboarding, you'll get a deep dive in the current data science efforts and you will have met the different departments at Fever.
- You'll get familiar with Fever's tech stack and frameworks.
- You will attend some of the Fever Original’s experiences like Candlelight

After 3 months in Fever:

- You’ll be able to come up with solutions to new difficult problems and you'll be generating impact and creating new business opportunities.
- You’ll have responsibilities and ownership over parts of our modeling pipeline or other critical tools.
- You will participate in some of the hackdays or hackathons we organise with other teams, and you will mostly know everybody from the data and engineering communities.

On your 6th month in Fever:

- You’ll have deployed to production models that have a direct impact on user experience.
- You'll be able to identify gaps in our platforms and processes and be a champion for continuous improvement
- You’ll be mentoring other new joiners to the team
- You will participate in some of the team buildings we organise for your team or the whole engineering team

**KEY RESPONSIBILITIES**
- Deploy trusted models that power Fever's decision making
- Design, build and support modern and scalable machine learning infrastructure, e.g.
- Build a reproducible, organized, end to end machine learning pipeline.
- Build model quality and usage monitoring systems.
- Automate model training.
- Build tools to make our analysts and data scientists more efficient.
- Understand the technical trade offs of different solutions, implement them and make them scalable

**BASIC SKILLS / QUALIFICATIONS**
- You’re smart, get stuff done, have great energy, and thrive in a fast paced environment
- You have experience building reproducible, production-ready machine learning pipelines
- You have experience productionizing models
- You comply with defined coding standards, creating quality code
- You're an expert in Python3 and its data ecosystem
- Experience with AWS (S3, EC2,)
- You have experience in Docker
- You are proficient in business English

**It would be a plus if you...**
- You have worked Kubernetes, you've deployed services with EKS
- Have experience with SageMaker, MLFlow or similar frameworks.
- You have worked with Django, FastAPI or other python web frameworks.

**BENEFITS AND PERKS**
- Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
- Stock Options
- Opportunity to have a real impact in a high-growth global category leader
- 40% discount on all Fever events and experiences
- Work in a location in the heart of Madrid, with possible travel across our markets
- Home office friendly
- Responsibility from day one and prof