WHO WE ARE

At Jampp, we solve the most complex and large-scale technological challenges in mobile advertising today.  We process over 2,000,000 ad requests per second, which amounts to over 1 Billion of data daily, across three global data centers. We rely on real-time machine learning models (with billions of features) that give us predictions in less than 20ms.

As a Machine Learning Engineer at Jampp, you'll write software that processes hundreds of thousands of operations per second, responds fast, scales easily, and performs all kinds of data processing and analysis, including accessing huge databases and applying machine learning algorithms.

If you are passionate about data structures and algorithms and enjoy coding for performance and efficiency without leaving behind code quality and maintainability, you might be the new Jampper we are looking for 👀

WHY DO WE NEED YOU?

Data and how it is used play a central role at Jampp and are at the heart of our product, business, operational, and financial decisions. 

As a  Senior Machine Learning Engineer, you’ll be in charge of one of the most important and critical parts of our Architecture. The machine learning platform is a module of our bidder, responsible for predicting in less than 20 milliseconds which banner and price should we bid for a given auction. These predictions are a key success factor of Jampp economics and our client mobile applications performance. 

This is more than a technical role; you’ll be a creative product and technical contributor. You’ll use your experience to inform our engineering process and decisions when building new features and ensuring the scalability and availability of the entire product.

WHAT YOU´LL DO

• Design, code and deploy highly scalable features (mostly in Python) from a massive machine-learning system that powers our economic module. 
• Visualize key statistical concepts of underlying models and its performance.
• Evaluate different statistical models, taking into consideration the trade-off between model improvements vs scalability.
• Adapt standard machine learning methods to best exploit modern parallel environments
• Join a team of data scientists, data engineers and software engineers to design, prototype and build scalable distributed systems that will be used to enhance the machine learning platform we have.
• Work in a self-sufficient, autonomous manner, striving through ambiguity
• Learn and teach about state-of-the-art computational statistics techniques

REQUIREMENTS

• 5+ years of hands-on experience building software in Python (C++ is a plus! ;) )
• Excellent engineering and strong CS fundamentals. (Hands-on programmer, not a data analyst)
• Experience working with ML technologies and building model training pipelines
• Be comfortable writing well-structured, production-ready code to support your work and have quality results quickly.
• Experience working with AWS, k8s and Nomad is a plus.
• Good SQL and database knowledge (Trino SQL is a plus).
• Ability to work both independently and in cooperation with others
• A sense of urgency and ownership over the product

WHAT WE OFFER

• 📱 Learn a ton about the hottest area of growth in Internet advertising - Mobile!
• 💰 Competitive salary
• 🤰🏻 Extended Maternity/Paternity leaves
• 🌴 Extended holidays every year
• 📈 A great level of responsibility from day one and the chance to develop your potential without limitations.
• 💪 An entrepreneurial environment.
• 💻 Office and remote work balance.
• 🤓 A structured remote onboarding process and continuous training with a supportive team. We win together!
• Work with a talented global team that you can constantly learn from! We have Jamppers from 🇧🇷🇬🇧🇺🇸🇮🇪🇩🇪🇦🇷🇷🇺... our customers are not the only ones from around the globe 😉
• 😎 Cool swag and team activities (even when working from home!)

WHO WE ARE

Jampp is a programmatic advertising platform used by the most ambitious companies to accelerate their mobile businesses. With a team of  +100 entrepreneurs, we simplify programmatic growth for some of the biggest mobile advertisers  (like Uber, Rappi, iFood, & Takeaway.com to name a few). 

Founded in 2013, Jampp leverages machine learning, creative optimization and proprietary advertising solutions to drive incremental growth for its customers, whether that means reaching new users or increasing post-install conversions.

In 2021, the company joined the Affle group, a global consumer intelligence technology company

We serve our global client base from our offices in Buenos Aires, San Francisco, São Paulo and Singapore.