Machine Learning Engineer, Outmax
Perion Network Ltd
| Company | Perion Network Ltd |
| Category | Engineering |
| Location | Paris |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 27 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video, CTV, and programmatic DOOH.
Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We’re working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native. About the position:
Outmax sits as an intelligence layer above ad buying platforms, giving brands and agencies control over the KPIs that actually matter to them. To do that well, we need people who can move fluidly between statistical rigour, machine learning pipelines, and production-grade code, often within the same week. This ML Engineer role, based in Montpellier or Paris with flexible remote options, is a hands-on, ownership-heavy position on a small team where your work ships to production and has direct impact on campaign performance for real clients.
You will be responsible for:
Build and deploy bid optimisation ML pipelines that feed directly into ad buying platforms, owning the full lifecycle from design to production
Design statistical frameworks to evaluate and improve campaign KPI performance for brand and agency clients
Develop production-grade backend services to expose ML model outputs via API, writing clean, reliable code with or without AI assistance
Wire MCP servers to extend Outmax's agentic offering with new data sources and actions
Own features end-to-end, from ideation and scoping through to deployment and iteration, without waiting for someone else to connect the dots
What We're looking for
3+ years of experience combining machine learning, data science, or backend engineering at an intermediate to senior level
Strong Python skills with the ability to write clean, production-ready code, LLM assistance is encouraged but this is not a vibe-coding role
Solid grounding in statistics and ML, including model building, evaluation, and pipeline design
Proven ability to own features end-to-end, from design through to production deployment, in a small team environment
Proficiency in English, both written and verbal, is essential for this role
Nice to have
Experience working in or with adtech platforms such as DSPs, SSPs, or campaign performance data
Hands-on experience with agentic AI frameworks or LLM tooling such as MCP or LangChain
--- Version française ML Engineer, Outmax Outmax se positionne comme une couche d'intelligence au-dessus des plateformes d'achat publicitaire, offrant aux marques et aux agences un contrôle sur les KPIs qui comptent vraiment. Pour y parvenir, nous avons besoin de personnes capables de naviguer avec aisance entre rigueur statistique, pipelines de machine learning et code prêt pour la production, parfois dans la même semaine. Ce poste de ML Engineer, basé à Montpellier ou Paris avec des options de télétravail flexibles, est un rôle très concret et responsabilisant au sein d'une petite équipe où votre travail est mis en production et a un impact direct sur la performance des campagnes de vrais clients. Ce que vous ferez
Construire et déployer des pipelines ML d'optimisation des enchères alimentant directement les plateformes d'achat publicitaire, en prenant en charge le cycle complet de la conception à la mise en production
Concevoir des frameworks statistiques pour évaluer et améliorer la performance des KPIs de campagne pour les clients marques et agences
Développer des services backend de niveau production pour exposer les sorties de modèles ML via API, en écrivant un code propre et fiable avec ou sans assistance IA
Connecter des serveurs MCP pour étendre l'offre agentique d'Outmax avec de nouvelles sources de données et actions
Prendre en charge les foncti
991,236 openings. Erioun finds yours.Scored against your own profile, every hour.Try the radar →