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Open nowPosted 8 days agoWe saw it 97 min after it went up

Machine Learning Engineer, Outmax

Perion Network Ltd8 open roles

Where
FR-Montpellier
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Your applicationOpen nowMachine Learning Engineer, OutmaxPerion Network Ltd · FR-Montpellier

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. Perion Network Ltd postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 8 days ago

Perion Network Ltd median: 7 days open

The posting

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 fonctionnalités de bout en bout, de l'idéation au déploiement et à l'itération, sans attendre que quelqu'un d'autre fasse le lien

Ce que nous recherchons

  • Trois ans ou plus d'expérience combinant machine learning, data science ou ingénierie backend à un niveau intermédiaire ou senior
  • Solides compétences en Python avec la capacité d'écrire un code propre et prêt pour la production, l'assistance LLM est encouragée mais ce poste n'est pas un rôle de vibe-coding
  • Bases solides en statistiques et ML, notamment la construction de modèles, l'évaluation et la conception de pipelines
  • Capacité avérée à prendre en charge des fonctionnalités de bout en bout, de la conception au déploiement en production, dans un environnement de petite équipe
  • La maîtrise de l'anglais, à l'écrit comme à l'oral, est indispensable pour ce poste

Atouts supplémentaires

  • Expérience de travail dans ou avec des plateformes adtech telles que des DSPs, SSPs ou données de performance de campagne
  • Expérience pratique avec des frameworks d'IA agentique ou des outils LLM tels que MCP ou LangChain
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