We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.
More than 6000 colleagues are part of eMAG Teams. We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!
As a Machine Learning Engineer within the Data&AI department, you will be at the forefront of developing and refining machine learning models that drive key aspects of our business. You will collaborate closely with cross-functional teams, including Product and Engineering teams, to deliver impactful solutions across various domains, from personalized product recommendations and ad relevance to pricing optimization, sales forecasting, or inventory management. Your role will involve both research and hands-on model development, ensuring our algorithms remain innovative and scalable in a fast-paced environment.
What you’ll have to do:
What makes you a good fit:
What we’ve prepared for you:
#LI-hybrid
#midsenior
Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details! Also, here you can find our confidentiality policy if you want to consult it.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
eMAG is a leading e-commerce retailer in Central and Eastern Europe, offering a vast selection of products ranging from electronics and appliances to fashion, home goods, and groceries. Headquartered in Romania, the company operates a marketplace platform and logistics network serving millions of customers across the region.