Outmax sits as an intelligence layer above ad buying platforms, giving brands and agencies control over the KPIs that matter to them. To do that well, we need people who can move fluidly between statistical rigor, 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.
Outmax sits as an intelligence layer above ad buying platforms, giving brands and agencies control over the KPIs that matter to them. To do that well, we need people who can move fluidly between statistical rigor, 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-optimization 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
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You will be responsible for: - Build and deploy bid-optimization 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
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Based on: Machine Learning Engineer
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