(Senior) Machine Learning Engineer | Pricing & Promotions

At RELEX, Engineering means to tackle complex challenges with cutting-edge tools and a forward-thinking approach. The work is complex, and it’s rewarding. From managing massive datasets to building user interfaces, we push boundaries to create intuitive software. Collaboration, respect, and flexibility define how we work, become part of our community and play a role in defining its future. 

Pricing & Promotions at RELEX

We design and develop tools that transform how businesses manage pricing and promotions, helping them make data-driven decisions with confidence. Our Pricing and Promotions applications are built cloud-native on Google Cloud Platform, combining robust Golang backend services with a seamless and intuitive Typescript/React front-end experience.  

Behind the scenes, our data platform processes millions of rows of raw customer data using Golang workflows orchestrated by Temporal. With hybrid data layers powered by ClickHouse and Postgres, we deliver analytics and forecasts that balance pre-calculation and real-time responsiveness. We also leverage Vertex AI to enhance our machine learning capabilities, ensuring that insights are not just fast but also meaningful - helping customers plan smarter and execute better.  

We create solutions that are not only scalable and reliable but also designed with users in mind, offering a platform that’s intuitive and adaptable to complex business needs. Whether you’re a product professional focused on strategy or a technologist passionate about innovation, you’ll find an environment that values your expertise. 

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Join us as a Machine Learning Engineer, and this is some of what you’ll be doing: 

• Support and improve our existing model operations with deployment tools and pipelines
• Imagine new feature ideas and design data pipelines to incorporate them into our models
• Improve the way we evaluate and monitor our model and system performance
• Deploy models to iteratively improve Relex Promotions’ business-critical models and systems

We’re Looking For: 

• Solid experience in software engineering in a production environment 
• Experience designing and training machine learning models to solve critical business problems 
• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis 

Life at RELEX  

RELEX operates in diverse markets across the globe. Our technology teams are mainly located in Finland, Sweden, Lisbon, and the U.S. As part of a truly international team, you’ll collaborate across time zones and cultures, driving innovation and achieving shared success. Our modern approach ensures that work is meaningful, inclusive, and impactful no matter where you are. 

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. We actively listen to our community to continuously improve our offerings, ensuring they remain relevant and valuable as we design and update them. 

Key Benefits 

• Competitive compensation and performance-based rewards.
• Flexible and hybrid working options to support work-life integration.
• Comprehensive health and wellness initiatives.
• Professional development opportunities, including training, mentorship, and clear career pathways.
• Generous leave policies, including parental leave and paid time off, supporting both personal and professional priorities. 

Life at RELEX is defined by collaboration, respect, and flexibility. We believe in fostering a work environment where innovation thrives and everyone feels valued. Our teams work together to solve meaningful challenges, creating an inclusive culture that supports professional and personal growth. Whether you’re engaging with colleagues across the globe or finding your own work-life balance, life at RELEX is about making a difference while enjoying the journey. What difference will you make?