pbThis position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Machine Learning Engineer: Ranking Personalization based in Italy. /b /ppJoin a collaborative, AI-driven environment where machine learning powers smarter e-commerce search, discovery, and shopping experiences. In this role, you will design, build, and maintain high-performance, real-time personalization services that reach hundreds of millions of users worldwide. You will work closely with engineers, data specialists, and business stakeholders to develop innovative solutions that improve product discovery and customer engagement. By leveraging user behavior, experimentation, and advanced machine learning techniques, you will help deliver more relevant shopping experiences. Your work will directly contribute to measurable business outcomes, including improved conversion rates and revenue growth. This is an opportunity to combine technical expertise, analytical thinking, and a strong sense of ownership while making a meaningful impact in a supportive, remote-first team. /ph3Accountabilities /h3ullipDesign, develop, deploy, and maintain scalable, real-time machine learning services that power ranking and personalization across e-commerce products, platforms, and industry verticals. /p /lilipEnhance personalized shopping experiences by developing and refining recommendation, ranking, and discovery capabilities based on user behavior and preferences. /p /lilipAnalyze user interactions and behavioral data to build effective models that deliver more relevant and engaging customer experiences. /p /lilipResearch, evaluate, and implement different personalization approaches to identify solutions that maximize customer value and business performance. /p /lilipFormulate and validate hypotheses through experimentation and A/B testing,



measuring the impact of personalization improvements on key business metrics. /p /lilipCollaborate with engineering teams, including ranking specialists, as well as cross-functional technical and non-technical stakeholders to develop and continuously improve personalization features. /p /lilipCommunicate findings, technical decisions, and business outcomes clearly to stakeholders, translating complex machine learning concepts into actionable insights. /p /lilipTake ownership of problems from investigation through implementation, continuously improving the reliability, scalability, and effectiveness of production systems. /p /li /ulh3Requirements /h3ullipAt least 3 years of professional experience in applied machine learning, with a strong understanding of how to develop and deploy ML solutions in real-world environments. /p /lilipProficiency in Python, SQL, and big data technologies, with the ability to support end-to-end machine learning product development. /p /lilipProven experience building, deploying, and maintaining production-grade personalization, recommendation, or ranking systems. /p /lilipPractical knowledge of designing and analyzing A/B tests and using experimental results to guide product and model improvements. /p /lilipExperience with a major public cloud platform is an advantage. /p /lilipStrong analytical and problem-solving skills, including the ability to investigate complex challenges, identify root causes, and translate findings into practical solutions.



/p /lilipExcellent English communication skills, with the ability to explain technical concepts and demonstrate business value to diverse stakeholders. /p /lilipExperience working effectively in cross-functional teams, balancing technical priorities with product and business objectives. /p /lilipAbility to work autonomously, manage responsibilities independently, and take initiative in identifying opportunities for improvement. /p /lilipA proactive, collaborative mindset, combined with empathy, accountability, and a genuine interest in delivering impactful machine learning solutions. /p /li /ulh3Benefits /h3ullipbCompetitive compensation: /b Annual base salary ranging from b$80,000 to $120,000 USD /b, depending on skills, experience, qualifications, and interview results. /p /lilipbStock options: /b Equity opportunities in addition to the base salary. /p /lilipbFully remote work: /b Work remotely and choose where you live. /p /lilipbFlexible time off: /b Unlimited vacation, with employees strongly encouraged to take at least three weeks off annually. /p /lilipbHome office support: /b A work-from-home stipend to help you create a comfortable and productive workspace. /p /lilipbEquipment provided: /b Apple laptops supplied to new employees. /p /lilipbLearning and development: /b An annual training and development budget to support professional growth. /p /lilipbFamily support: /b Maternity and paternity leave for eligible employees. /p /lilipbTeam connection: /b Regular team offsites that encourage collaboration, relationship-building, and shared learning. /p /lilipbSupportive culture: /b Work alongside talented, empathetic colleagues in an open and cooperative environment that values ownership, inclusion, and meaningful impact. /p /li /ul #J-18808-Ljbffr

📌 Machine Learning Engineer: Ranking & Personalization (Italia)
🏢 Jobgether
📍 Italia