🇫🇷 Paris, France · 11h ago
ML Engineer
Wiraa
LinkedInmidEnglish-friendly
About The CompanyPerion is a leading global advertising technology company dedicated to delivering innovative solutions to some of the world's biggest brands and publishers. Our expertise spans across search, social media, display, video, connected TV (CTV), and programmatic digital out-of-home (DOOH) advertising. We pride ourselves on our award-winning technology platform that leverages data-driven AI and machine learning (ML) to optimize advertising campaigns. By processing hundreds of terabytes of data and billions of events daily, we ensure our clients receive a superior experience across various screens and platforms, including mobile, video, social, and native advertising. Our commitment to innovation and excellence positions us as a trusted partner in the digital advertising ecosystem.About The RoleWe are seeking a skilled ML Engineer to join our team, based in Montpellier or Paris with flexible remote working options. This role sits at the intersection of data science, machine learning, and backend engineering, serving as a critical component of our Outmax platform—a sophisticated intelligence layer that empowers brands and agencies to control key performance indicators (KPIs) relevant to their campaigns. As an ML Engineer, you will have ownership of the entire lifecycle of bid optimization ML pipelines, from conceptual design to deployment in production environments. Your work will directly influence campaign performance for real clients, making this a highly impactful and hands-on position within a small, dynamic team. You will collaborate closely with cross-functional teams to develop scalable backend services, integrate new data sources, and iterate on features to enhance our platform’s capabilities.QualificationsMinimum of 3 years of professional experience in machine learning, data science, or backend engineering at an intermediate to senior levelStrong proficiency in Python, with a proven ability to write clean, production‑ready codeExperience designing and deploying ML pipelines, particularly for bid optimization or adtech applicationsFamiliarity with statistical frameworks to evaluate and improve campaign KPIsExperience developing backend services and APIs to serve ML model outputsAbility to work independently through the full feature lifecycle, from ideation to deployment and iterationExcellent problem-solving skills and the ability to adapt quickly to new challengesResponsibilitiesBuild, deploy, and maintain bid optimization ML pipelines integrated with ad buying platformsDesign and implement statistical models to evaluate and enhance campaign KPI performance for brand and agency clientsDevelop robust backend services to expose ML model outputs via APIs, ensuring reliability and scalabilityIntegrate new data sources and actions by wiring MCP servers to extend Outmax’s capabilitiesOwn features end‑to‑end, from conceptualization and scoping through to deployment, testing, and iterationCollaborate with cross-functional teams to ensure seamless integration and optimal campaign performanceStay updated with the latest advancements in ML, AI frameworks, and adtech to continuously improve platform offeringsBenefitsCompetitive salary package commensurate with experienceFlexible remote working options to support work-life balanceOpportunities for professional growth and development within a pioneering tech environmentCollaborative and innovative work cultureAccess to cutting-edge tools and technologies in AI and machine learningParticipation in impactful projects that drive real-world advertising resultsEqual OpportunityPerion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected status. We believe that a diverse team fosters innovation and drives success, and we welcome applications from candidates of all backgrounds.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.