ppThis role sits at the core of a next-generation ecommerce search and discovery platform that operates at massive general scale. You will be responsible for building and optimizing machine learning systems that directly impact relevance, recall, and business-critical outcomes such as conversion and revenue. Working on transformer-based and multimodal models, you will help shape how users discover products across search, recommendations, and visual shopping experiences. The environment is highly technical and innovation-driven, with a strong emphasis on production-grade ML systems and measurable impact. You will collaborate with engineers across distributed teams to push the boundaries of LLMs, deep learning, and large-scale data systems. This is an opportunity to work on one of the most advanced AI-driven ecommerce search infrastructures in the industry. /p h3Accountabilities /h3 ul liDesign, build, and deploy robust machine learning systems for search and discovery, including NLP, image-based, and multimodal models that improve recall and relevance. /li liDevelop and optimize ML/DL models using transformer architectures and LLM techniques to enhance system performance and business KPIs. /li liTranslate research ideas and hypotheses into production-ready engineering solutions that improve search quality, ranking, and user experience. /li liWork on large-scale distributed data pipelines and ML workflows using big data technologies to support end-to-end model development and deployment. /li liCollaborate closely with cross-functional engineering teams to integrate models into broader platforms and ensure system scalability and reliability. /li liConduct performance optimization and iterative experimentation to continuously improve model efficiency and business impact.



/li /ul h3Requirements /h3 ul li3+ years of professional experience in applied machine learning with a proven track record of delivering production-grade ML systems. /li liStrong expertise in NLP, particularly transformer-based models, along with solid understanding of classical machine learning techniques. /li liAdvanced Python skills and hands-on experience with deep learning frameworks (PyTorch preferred). /li liStrong experience with SQL (e.g., SparkSQL, MySQL or similar) and working knowledge of large-scale data processing systems such as PySpark. /li liAbility to translate business problems into data-driven hypotheses and implement scalable engineering solutions with measurable impact. /li liStrong problem-solving mindset, proactivity, and ownership-oriented approach to technical challenges. /li liExcellent collaboration and communication skills, with the ability to explain complex ML concepts clearly and work effectively in team environments. /li liNice to have: experience with A/B testing, cloud platforms (AWS/GCP/Azure), Rust or C/C++, strong algorithmic thinking, and interest in performance optimization. /li /ul h3Benefits /h3 ul liFully remote work setup, allowing you to choose your location. /li liUnlimited vacation policy with encouragement to take at least 3 weeks off annually. /li liHome office stipend to support your remote work environment. /li liCompany-provided Apple laptop for all new employees. /li liAnnual learning and development budget for continuous professional growth. /li liPaid maternity and paternity leave for eligible employees. /li liStock options in addition to a competitive base salary. /li liRegular team offsites to foster collaboration and connection. /li liOpportunity to work with highly skilled peers on impactful, large-scale AI systems. /li liBase salary range: $80,000 - $120,000 USD depending on experience and performance. /li /ul /p #J-18808-Ljbffr

📌 Senior Machine Learning Engineer: ML Recall (Madrid)
🏢 Jobgether
📍 Madrid