Senior Machine Learning Engineer - Join Squad Maât

Role Overview iliad-free is hiring a Machine Learning Engineer in Paris. This position focuses on developing and improving products with advanced machine learning techniques, including work with large language models (LLMs). The role sits within the tech and digital teams, where close collaboration drives new solutions for telecommunications challenges. What You Will Do Work alongside technical and digital colleagues to design, build, and refine machine learning models Apply modern algorithms and technologies to real-world product needs Contribute ideas and code that shape current and future projects Impact Results from this work help iliad-free stay competitive and innovative within the telecommunications sector. Contributions in this role have a direct effect on ongoing and upcoming projects.

Role overview Ubisoft Entertainment S.A. seeks a Machine Learning Engineer (H/F/NB) for its Paris team. The role centers on designing AI solutions that enhance gameplay and introduce new features for players. What you will do Create and refine machine learning models to support both game development and player engagement. Use data analysis to guide and improve AI-powered features. Work closely with other teams to bring machine learning solutions into Ubisoft games. Location This role is located in Paris.

Role overview sia is looking for a Machine Learning Engineer based in Paris. This position centers on building and refining machine learning models and algorithms that power sia’s software and platforms. The goal is to develop solutions that address practical, real-world needs. What you will do Design and develop machine learning models that support sia’s products Work closely with colleagues from various teams to address technical challenges Help enhance and evolve AI-driven features across our offerings Team and culture Join a group of professionals who value technology’s influence and enjoy working together on meaningful problems.

About the Role meilleurtaux is looking for a Machine Learning Operations Engineer to join the team in Paris. This role focuses on improving how machine learning models support business operations. What You Will Do Work closely with teams across the company to put machine learning models into production Ensure smooth integration of these models into daily business workflows Apply machine learning knowledge to strengthen operational processes Location This position is based in Paris.

Join our dynamic team at iliad-free in Paris as a Machine Learning Engineer Intern. This is an exciting opportunity for students or recent graduates to gain hands-on experience in the world of machine learning and large language models (LLM).As an intern, you will work closely with our talented engineers to develop innovative solutions that leverage advanced machine learning techniques. You will have the chance to contribute to real projects and enhance your skills in a collaborative environment.

About NablaAt Nabla, we are a pioneering team of entrepreneurs, clinicians, and engineers dedicated to revitalizing the joy of practicing medicine.In collaboration with a network of clinician innovators, we have leveraged cutting-edge machine learning technologies to create Nabla: the foremost AI assistant that is reestablishing the vital human connection in healthcare. By optimizing clinical documentation, Nabla empowers clinicians to prioritize what truly matters - patient care. Currently, over 85,000 clinicians from more than 130 healthcare organizations rely on Nabla to enhance their daily care delivery.We are embarking on an exciting journey: Ambient listening, dictation, coding, and command capabilities are merging into a proactive assistant that intuitively improves clinical and financial workflows.With a recent $70M Series C funding, we are expanding our team to build the next generation of clinical AI and enhance the lives of clinicians and patients globally.Join us at this pivotal moment!Leading AI Solutions for HealthcareNabla's impressive growth is the culmination of three years of dedicated product development.Our team, guided by former Meta AI Research engineers, consistently foresees how AI can transform healthcare delivery. The Machine Learning division continually harnesses the latest innovations to realize AI's full potential in healthcare.Notably, Yann LeCun, Meta’s Chief AI Scientist and Turing Award recipient, serves as an advisor to Nabla.Engineering Culture at NablaOur engineering environment is streamlined, agile, and highly technical. Our teams encompass machine learning, native desktop applications, and platform infrastructure to deliver AI solutions in clinical settings reliably and at scale.Your RoleAs a Senior Machine Learning Engineer, you will be instrumental in transforming clinicians’ workflows, enhancing patient care, and ensuring Nabla stays at the forefront of AI advancement. You will take the lead on impactful projects and play a key role in the maturation of our products, contributing to the overall success of our mission.

nexton is looking for a Lead Data Engineer / Machine Learning Specialist to join its Paris team. This role centers on developing and refining data solutions that help achieve business objectives and improve daily operations. Key responsibilities Design and construct data pipelines for analytics and machine learning projects Enhance data flows to ensure reliability and efficiency Collaborate with teams throughout the company to align data efforts with strategic goals Use machine learning techniques to uncover insights and inform business decisions What to expect at nexton Projects at nexton rely on the intersection of data and technology to create measurable business results. The team values teamwork and practical approaches that deliver real impact.

Join our innovative team at Winamax as a Senior Machine Learning / AI Engineer. You will play a pivotal role in developing and implementing machine learning models that drive our data analytics and enhance user experiences. If you are passionate about harnessing AI technologies and enjoy working in a dynamic environment, we invite you to apply!

Join our innovative team at jobteaser as a Machine Learning Engineer. In this role, you will be instrumental in developing cutting-edge machine learning models that will drive our data initiatives forward. Your expertise will help us harness the power of data to enhance our services and provide exceptional value to our users.We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex problems. If you have a strong background in machine learning and a desire to make a real impact in the tech industry, we want to hear from you!

Join Our Team as a Machine Learning EngineerAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems that make a meaningful impact. With our recent $200 million Series B funding, which has propelled our valuation to $1.4 billion, we are expanding our innovative teams to deliver essential systems to allied forces.Our core values include a commitment to technological advancement with real-world applications, a relentless pursuit of excellence, ambitious goal-setting, and tackling the most complex technical challenges. We thrive in an environment where high standards, accountability, and execution are paramount.Role OverviewAs a Machine Learning Engineer on our Foundational team based in Paris, you will be crucial in developing the cognitive capabilities of our tactical robots. Your primary responsibility will be to architect and scale large, multi-modal foundational models that derive robust battlefield representations through Self-Supervised Learning (SSL) from extensive unlabelled Electro-Optical (EO) and Infrared (IR) data. These foundational weights will empower our Edge AI team to create highly accurate models for tactical hardware.Key ResponsibilitiesArchitectural Design: Innovate neural network architectures (such as Vision Transformers) and loss functions (including Masked Autoencoders and Contrastive Learning) to effectively learn from both paired and unpaired EO and IR datasets.Training Infrastructure Management: Oversee and enhance training pipelines across multi-node GPU clusters, optimizing mixed-precision training and data loading processes.Evaluation of Representations: Establish metrics and linear-probing benchmarks to validate that the latent space captures meaningful semantic features prior to model distillation.Data Strategy Development: Assess current EO/IR data lakes and implement cross-attention mechanisms to integrate diverse sensor features.Collaboration: Work closely with Data Engineers on data ingestion pipelines and partner with the Edge AI team to ensure seamless transitions of high-performance models.

About Mistral At Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, boost productivity, and foster creativity. Our innovative technology is designed for seamless integration into everyday workflows.We are committed to democratizing AI with high-performance, optimized, and cutting-edge open-source models, products, and solutions. Our extensive AI platform caters to enterprise needs in both on-premises and cloud environments. Among our offerings is le Chat, the AI assistant designed to enhance both personal and professional life.As a dynamic and collaborative team, we are passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in competitive settings, dedicated to driving innovation. With teams located in France, the USA, the UK, Germany, and Singapore, we embody creativity, humility, and a strong team spirit.Join us at Mistral to help shape the future of AI and make a significant impact together. Discover more about our culture at https://mistral.ai/careers.Role SummaryAs a Machine Learning Engineer focused on open-source software, you will be pivotal in releasing state-of-the-art models and enhancing Mistral’s publicly available libraries. Your contributions will facilitate the transformation of research breakthroughs into practical solutions, significantly enriching Mistral's open-source ecosystem.About the Open Source Software TeamOur Open Source Software team collaborates closely with the Science team and various engineering and marketing departments. Members of the OSS team can navigate between production and research roles based on project demands and personal interests.Key Responsibilities• Release our advanced models on open-source platforms and libraries, such as vLLM, GitHub, and Hugging Face.• Maintain Mistral’s open-source libraries, including mistral-common, mistral-finetune, and mistral-inference.• Develop and maintain both internal and external-facing tools and services to support research and open-source initiatives.

At Hugging Face, we are committed to making AI accessible for everyone. Join us in building the fastest-growing platform for AI enthusiasts, boasting over 11 million users who have collectively shared more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have garnered over 600,000 stars on GitHub.About the RoleWe are looking for a talented and enthusiastic Open-Source Machine Learning Engineer to join our Paris team. In this pivotal role, you will be responsible for developing, integrating, and maintaining our core library, ensuring that cutting-edge AI for Robotics technology is accessible to our community.Your main responsibilities will include:ML Model Integration & Scaling: Port and scale PyTorch ML models for robotics applications, managing pretraining and large-scale training workflows.Core Library Development: Refactor, manage, and improve the API, architecture, and infrastructure of the core library to ensure robustness, scalability, and user-friendliness.Feature Development & Exploration: Lead the development and deployment of new, robust features while exploring and integrating new technologies relevant to AI and robotics.Community Engagement & Maintenance: Manage and merge community pull requests (PRs), address reported issues, and serve as a technical liaison for the community.Infrastructure & Benchmarking: Implement and maintain integrations with platforms like the Hugging Face Hub, perform benchmarking and profiling to ensure optimal performance, and manage library dependencies.About YouEducation: MS or PhD in Computer Science, Machine Learning, or a related field.Machine Learning Expertise: Hands-on experience with PyTorch and a solid understanding of efficient ML development and deployment abstractions.ML Literature & Systems Knowledge: Familiarity with current robot learning literature and experience in integrating ML models into larger systems.Strong Software Development Skills: Exceptional coding ability (e.g., Python) with experience in building and maintaining complex, production-quality libraries.Software Design & Maintenance: Proven track record in managing the technical lifecycle of a library, including refactoring, maintaining API stability, and dependency management.Bonus Points:Prior contributions to open-source libraries in robotics, particularly on LeRobot.If you are eager to join us but don’t meet every qualification, we still encourage you to apply! We aim to build a diverse team with a wide range of skills, experiences, and backgrounds.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save time, and boost creativity and learning. Our innovative technology seamlessly integrates into everyday professional environments, enhancing efficiency and productivity.We democratize artificial intelligence through a suite of high-performance, optimized, open-source models and solutions. Our extensive AI platform caters to both enterprise and individual needs, featuring Le Chat, La Plateforme, Mistral Code, and Mistral Compute - a groundbreaking collection that delivers state-of-the-art intelligence to users.Our dynamic and collaborative team is passionate about the potential of AI to revolutionize society. Comprising a diverse workforce spread across France, the USA, the UK, Germany, and Singapore, we thrive in competitive settings and are dedicated to fostering innovation. We pride ourselves on being creative, humble, and team-oriented.Join us in shaping the future of AI and making a significant impact in the field. Explore more about our culture at https://mistral.ai/careers.Mistral AI participates in the E-Verify programRole OverviewResearch Engineering Team IntroductionOur Research Engineering team encompasses both the Platform (shared infrastructure & clean code) and Embedded (integrated within research squads) divisions. Engineers have the flexibility to shift along the research-to-production spectrum based on evolving interests and requirements.As a Research Engineer focused on Machine Learning, you will be instrumental in building and optimizing large-scale learning systems that underpin our open-weight models. Collaborating closely with Research Scientists, you will have the opportunity to join either:- **Platform RE Team**: Enhance the foundational training frameworks, data pipelines, and cluster tools utilized by all teams; or- **Embedded RE Team**: Integrate directly within a research squad (such as Alignment, Pre-training, Multimodal, etc.) and transform innovative ideas into scalable, repeatable code.Location: Paris / London (hybrid) or remote within EU/UKKey Responsibilities• Facilitate researchers by managing the intricate aspects of large-scale ML pipelines and developing robust tools.• Bridge cutting-edge research with production: integrate model checkpoints, streamline evaluation processes, and expose APIs.• Conduct experiments utilizing the latest deep-learning methodologies (including sparsified 70B+ runs and distributed training on thousands of GPUs).• Design, implement, and benchmark ML algorithms, while producing clear, efficient code.

TLDR: We are seeking a skilled Machine Learning Engineer / MLOps Specialist to take ownership of our inference stack, optimizing serving engines and developing vector search pipelines. Your role will involve bridging the gap between Research and Product to deliver models that are efficient, cost-effective, and ready for production.About UsWhite Circle is an AI Safety company dedicated to enhancing the safety, reliability, and optimization of AI systems. Our platform is centered around defining straightforward, natural-language policies that dictate the appropriate and inappropriate behaviors of AI models. We continually test, enforce, and enhance these policies at scale to ensure optimal performance.We have successfully raised $11M from leading investors, founders, and executives from prominent organizations, including OpenAI, Anthropic, Hugging Face, Mistral, DeepMind, Datadog, and Sentry.Our infrastructure handles over 100 million API calls each month.We specialize in fine-tuning and training our own large language models (LLMs) to operate faster and more economically than any competing open or proprietary models.Your ResponsibilitiesOversee the end-to-end inference infrastructure: enhance latency, throughput, and cost efficiency across our model fleet.Develop and scale model serving solutions using TensorZero, vLLM/SGlang/TRT, and Kubernetes.Design and maintain vector search pipelines utilizing vector storage technologies.Demonstrate familiarity with support metrics (SLAs, FCR, deflection) and define service health KPIs.Transform research outcomes into practical applications: collaborate with the research team, assess production readiness, and manage deployment processes including formatting and sampling parameters.Your QualificationsA minimum of 3 years of experience in deploying high-performance ML systems in production, beyond just training notebooks.In-depth experience with inference optimization, including troubleshooting latency issues and understanding the differences between theoretical and actual throughput.Proficient across the tech stack: from CUDA kernels to Kubernetes manifests and Grafana dashboards.Preferred Qualifications: Experience with Rust, custom Triton kernels, and performance benchmarking.Why Join White Circle?Competitive salary ranging from $100,000 to $150,000 plus equity options.20 days of paid vacation annually.Opportunity to work from Paris with a hybrid work model, including a relocation package.Access to top-tier medical insurance in France.

Ubisoft Entertainment S.A. seeks a Team Lead Machine Learning Engineer in Paris to guide a group of engineers focused on enhancing gaming experiences through advanced machine learning techniques. This leadership role centers on both technical direction and team development within a creative environment. Key Responsibilities Lead a team of machine learning engineers, providing support and direction on project work. Foster collaboration and knowledge sharing among team members. Supervise the design, development, and deployment of machine learning solutions for gaming projects. Role Focus This position emphasizes both hands-on technical oversight and people management. The team works on projects that apply advanced machine learning to improve player experiences in Ubisoft games.

Voodoo is looking for a Senior Machine Learning Engineer in Paris to design and implement machine learning algorithms for mobile games. This position centers on building technology that enhances the gaming experience for millions of players. Key responsibilities Develop and deploy machine learning models specifically for mobile gaming applications Work closely with product and engineering teams to bring algorithms into live products Experiment with new methods to improve gameplay and increase user engagement Working at Voodoo Voodoo is recognized for its creative approach to mobile gaming and commitment to innovation. The company values practical solutions that make a real difference in game development and player satisfaction.

About the Institute of Foundation ModelsThe Institute of Foundation Models is a premier research laboratory committed to the development, comprehension, application, and risk management of foundation models. Our mission is to propel advancements in research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.Joining our team provides a unique opportunity to engage with cutting-edge foundation model training alongside distinguished researchers, data scientists, and engineers. You will confront some of the most fundamental and impactful challenges in AI development while contributing to the creation of revolutionary AI solutions capable of transforming entire industries. Your strategic and innovative problem-solving abilities will be crucial in positioning MBZUAI as a global center for high-performance computing in deep learning, facilitating groundbreaking discoveries that will inspire future AI trailblazers.The RoleAs a Research Engineer focused on speech and audio machine learning, you will serve as the link between research and production constraints, ensuring competitive performance. You will oversee the complete performance lifecycle of our machine learning speech systems, from designing scalable training infrastructures to achieving ultra-low-latency inference capabilities.

Our Mission At Doctrine, we have been committed since 2016 to a significant democratic challenge: making law more accessible. We are the leading legal AI platform enabling lawyers and legal professionals to free themselves from repetitive and time-consuming tasks, allowing them to focus on what truly matters at every stage of their work—be it understanding a case, researching information, or drafting documents. Today, Doctrine attracts over 1 million visits monthly, with dozens of new legal professionals joining us each day. Our ambition extends beyond borders: we aim to establish ourselves as the European leader in legal AI. Following our successful launch in France and Italy, we are currently expanding into Germany with a strong belief that we must think globally while implementing locally. We prioritize understanding the unique needs of our clients and deeply comprehend the nuances of each legal system. And this is just the beginning!Our Values Challenge the Status Quo. We champion bold ideas and intelligent risk-taking.Liberty and Responsibility. We promote autonomy, individual impact, and ownership.Knowledge is Power. Information is at the heart of Doctrine's mission, and we strive for continuous learning.Release Early, Release Often and Listen to Your Customers. We believe in the power of iteration and the importance of constantly listening to our market, our clients, and their challenges.The ContextWe are seeking a Senior Machine Learning Engineer to assist us in building the first legal intelligence platform.You will join a high-impact squad, playing a central role in scaling the entire Engineering team at Doctrine.This position involves cross-functional missions across squads, countries, and multiple products (search engine, chatbot, recommendations… very engaging work).Our technical stack includes Python, PyTorch, Airflow, Gen AI, NLP, and LLM.

About UsAt MARGO, our consultants focus on what truly matters: tackling complex projects that combine intellectual challenges with real business impact.This is why we support leading players in finance, industry, and technology on their most strategic projects in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, the AI Practice Manager at MARGO, and Lead Data Scientist at BNP Paribas.Working alongside him means joining a team of passionate experts, being technically and methodologically challenged, and contributing to high-impact projects for clients.Your ResponsibilitiesWe are seeking a Machine Learning Engineer to join our teams and engage at the heart of our clients' Data strategies (Industry, Finance, Energy). Your primary objective will be to industrialize Machine Learning algorithms and ensure their production lifecycle.You will operate on three major technical axes:1. Industrialization & Deployment (Model Serving)- Transforming research models (Proof of Concept) into robust, tested, and optimized production code.- Developing high-performance APIs (FastAPI, Flask) to expose models to business applications.- Containerizing solutions (Docker) and orchestrating on clusters (Kubernetes) to ensure scalability and high availability.2. MLOps Architecture & Automation- Designing and maintaining CI/CD pipelines dedicated to Machine Learning (automated retraining, model validation).- Implementing and managing data flow orchestration tools (Airflow, Kubeflow, Dagster).- Managing versioning of data and models (DVC, MLflow) to ensure reproducibility of experiments.