Machine Learning Engineer: Personalization

pbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer: Personalization based in Switzerland. /b /p pAs part of the Personalization team, you will help shape the e-commerce experience for hundreds of millions of shoppers worldwide.br/You will design, deliver, and maintain high-load, real-time machine learning services that power personalized experiences across products, platforms, and domains.br/Your work will focus on understanding user interactions and turning behavioral signals into relevant, impactful recommendations and experiences.br/You will research and test personalization approaches, using experimentation and data to validate hypotheses and improve key business metrics.br/You will work closely with machine learning and engineering teams, including teams responsible for ranking and search, to build cohesive experiences.br/The role combines hands-on applied machine learning with product thinking, stakeholder collaboration, and end-to-end ownership.br/You will join an open, cooperative, fully remote environment where autonomy, empathy, and measurable impact are highly valued. /p ul liDevelop and improve personalized experiences across different products, platforms, and e-commerce domains. /li liDesign, build, ship, and maintain high-load, real‑time machine learning services supporting personalization at scale. /li liModel user interactions and behavioral signals to better understand shopper preferences and deliver relevant experiences. /li liResearch and evaluate different personalization and recommendation approaches to identify opportunities for improvement. /li liFormulate and validate hypotheses around personalization using data, experimentation, and A/B testing. /li liAnalyze the impact of personalization initiatives and identify opportunities to improve key business performance indicators. /li liCollaborate closely with technical and non‑technical stakeholders to develop, refine, and evolve personalization capabilities. /li liWork cross‑functionally with engineering and machine learning teams, including ranking teams, to deliver integrated solutions. /li liCommunicate technical findings, recommendations, and business value clearly to stakeholders within and beyond the team. /li liTake ownership of problems from investigation and experimentation through implementation and continuous improvement. /li /ul h3Requirements: /h3 ul li3+ years of professional experience in applied machine learning. /li liStrong proficiency in Python and SQL, with experience using the big data stack for end-to-end machine learning product development. /li liProven experience building, deploying, and maintaining personalization, recommendation, or ranking systems in production. /li liPractical understanding of machine learning development in high‑scale, production environments. /li liExperience designing and analyzing A/B tests and using experimental results to guide product or model decisions. /li liExperience translating machine learning initiatives into measurable business value and communicating that value effectively to stakeholders. /li liExperience with one or more major public cloud platforms is a plus. /li liExcellent English communication skills, both written and verbal. /li liExperience working effectively in cross‑functional teams with technical and non‑technical colleagues. /li liStrong analytical and problem‑solving skills, with the ability to investigate complex problems and turn findings into actionable outcomes. /li liAbility to work autonomously, take ownership, and make progress independently. /li liProactive mindset with a strong focus on collaboration, learning, and delivering meaningful impact. /li /ul h3Benefits: /h3 ul liFully remote working environment, giving you flexibility over where you live. /li liUnlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation each year. /li liWork‑from‑home stipend to help you create a well‑equipped home office. /li liApple laptop provided for new employees. /li liAnnual training and professional development budget. /li liMaternity and paternity leave for eligible employees. /li liRegular team offsite events to connect and collaborate. /li liOpportunity to work with talented and empathetic colleagues who support your growth and enable you to make a meaningful impact. /li liBase salary of b$80,000–$120,000 USD /b, depending on knowledge, skills, experience, and interview results. /li liStock options offered in addition to the base salary. /li /ul