Software Engineer (with overlap into ML Engineer) for Artificial Intelligence team (Engagement)

Bloomreach is the world’s #1 Commerce Experience Cloud, empowering brands to deliver customer journeys so personalized, they feel like magic. It offers a suite of products that drive true personalization and digital commerce growth, including:

• Discovery, offering AI-driven search and merchandising
• Content, offering a headless CMS
• Engagement, offering a leading CDP and marketing automation solutions

Together, these solutions combine the power of unified customer and product data with the speed and scale of AI optimization, enabling revenue-driving digital commerce experiences that convert on any channel and every journey. Bloomreach serves over 850 global brands including Albertsons, Bosch, Puma, FC Bayern München, and Marks & Spencer. Bloomreach recently raised $175 million in a Series F funding round, bringing its total valuation to $2.2 billion. The investment was led by Goldman Sachs Asset Management with participation from Bain Capital Ventures and Sixth Street Growth. For more information, visit Bloomreach.com.

Join our Artificial Intelligence team as a Software Engineer and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. The salary range starts at 3500€ per month, along with restricted stock unites and other benefits. Working in one of our Central European offices or from home on a full-time basis, you'll become a core part of the Engineering Team.

What challenge awaits you?

You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. You'll work alongside a team to overcome the unique challenges of building and running ML models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness.

You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and performance of developed solution
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for ML-powered features into technical specifications and design documents.
• Collaborate with data scientists to ensure new ML features' technical feasibility and scalability. …