> Markdown version of [/jobs/ext/2726272-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2726272-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Criteo SA - **Location:** Grenoble, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Big Data, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Deep Learning, Generative AI - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/senior-machine-learning-engineer-criteo-com-9779657 ## About the Role * Strong foundations in Machine Learning, Deep Learning, Statistics, or Applied Mathematics. * Experience building, training, and evaluating deep learning models in production environments. * Familiarity with modern approaches such as Transformers, representation learning, recommendation systems, sequence modeling, or generative AI. * Proficiency in Python and machine learning frameworks such as PyTorch. * Experience working with large-scale datasets and distributed training environments. * A strong experimental mindset, combining scientific rigor with a focus on measurable outcomes. * The ability to collaborate effectively across research and engineering teams. ## Description As a Machine Learning Engineer, you'll help design the next generation of AI technologies powering Criteo's advertising platform. You will: * Design, develop, and evaluate novel machine learning approaches to solve complex prediction, optimization, and recommendation problems. * Transform research ideas into robust production systems capable of operating on petabytes of data and serving real-time decisions at massive scale. * Partner closely with researchers, software engineers, product managers, and data scientists to bring innovative solutions from concept to impact. * Experiment, learn, and iterate through rigorous offline evaluation and large-scale online A/B testing. * Contribute to a culture of technical excellence by sharing knowledge, challenging existing approaches, and helping shape the future direction of our AI capabilities. Why this role is unique? You'll have the opportunity to: * Influence products used across the global digital advertising ecosystem. * See your ideas tested on billions of daily interactions. * Work with large-scale datasets and modern machine learning technologies. * Collaborate with internationally recognized experts in AI, machine learning, and distributed systems. * Balance scientific exploration with tangible business impact. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [SEO in an AI world - Google vs. ChatGPT and survival tips for content creators](https://www.wearedevelopers.com/magazine/534-seo-in-an-ai-world-google-vs-chatgpt-and-survival-tips-for-content-creators)