Machine Learning Engineer, Open-Source Software - Paris/London

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.

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 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.

At Lifen, we believe that medical data has the power to revolutionize the healthcare system, but only if it is accessible. More accessible data leads to reduced administrative burdens, improved care coordination, and faster scientific discoveries.Since 2015, our mission has been to unlock this potential. Our AI-driven solutions enable healthcare professionals to effortlessly share medical information and empower researchers to accelerate clinical discoveries, impacting millions of patients in France every day. As we prepare to expand across Europe, our success hinges on two key factors: our teams and our mission.Today, over 150 individuals work both onsite and remotely to unleash the potential of health data. We have connected 800 hospitals and 150,000 healthcare professionals, and we are just getting started. We seek individuals who embrace complexity, are eager to tackle challenging problems, and are ready to build the future of healthcare collaboration.Our AI TeamThe AI team at Lifen delivers over one million real-time predictions daily, powering our flagship product, Lifen Document, which transforms the exchange of medical reports among practitioners in France.With six years of experience in handling medical data, our team consisting of 5 ML Engineers and 1 Engineering Manager excels at building robust and secure models that drastically streamline healthcare professionals' administrative tasks.From layout extraction to pseudonymization, fine-tuning LLM for medical data extraction, and applying NLP algorithms to structure documents, we encompass the entire intelligent data processing chain in healthcare. What You'll Do with UsAt Lifen, Machine Learning addresses concrete challenges in processing medical documents, utilizing exploratory approaches in NLP and computer vision. During this internship, you will work on innovative topics at the intersection of research and industrial application. On a daily basis, you will:• Conduct experiments on NLP and vision challenges, exploring new approaches (calibration, confidence and context attribution in LLMs, reinforcement learning, multimodal models...).• Carry out thorough scientific monitoring and implement methods from recent publications, adapting them to our specific use cases in the medical field.• Rigorously evaluate the performance of your models...

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.

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.

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 PathwayAt Pathway, we are revolutionizing the field of artificial intelligence with our groundbreaking post-transformer model that mimics human thought processes. Our innovative architecture surpasses traditional Transformer models, providing enterprises with unparalleled transparency into the operational mechanics of our model.By integrating this foundational model with the industry's fastest data processing engine, Pathway empowers businesses to transcend mere incremental improvements and achieve genuinely contextualized, experience-driven intelligence. Our esteemed clientele includes NATO, La Poste, and Formula 1 racing teams.Founded by complexity scientist Zuzanna Stamirowska, our leadership team includes AI trailblazers like CTO Jan Chorowski, who pioneered the application of Attention mechanisms in speech processing and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at just 20 years old.Supported by prominent investors and advisors, including Lukasz Kaiser, co-creator of the Transformer architecture (the 'T' in ChatGPT) and a key contributor to OpenAI’s reasoning models, Pathway operates from its headquarters in Palo Alto, California.The OpportunityWe are actively looking for passionate interns in Machine Learning/AI Software Engineering who have demonstrated excellence in research on machine learning models.Your ResponsibilitiesAssist in the training of Large Language Models (LLMs)Benchmark LLMs for performance evaluationPrepare and assess training datasetsCollaborate with the core Pathway Research TeamYour contributions will significantly impact the advancement of the AI domain.

Join Safran AI as a Deep Learning Scientist Intern specializing in acoustics. This role offers an exciting opportunity to apply advanced deep learning techniques to acoustic data analysis, contributing to cutting-edge projects in the field of artificial intelligence.

Cohere is seeking a research intern for the summer in Paris, with a focus on reinforcement learning. This position is intended for students or recent graduates eager to gain practical experience in artificial intelligence and machine learning research. Role overview Collaborate with Cohere's research team on reinforcement learning projects Take part in research activities and contribute to ongoing studies Analyze data and assist in developing algorithms to improve reinforcement learning methods Who this role is for Students or recent graduates with an interest in reinforcement learning Those looking for hands-on experience in AI and machine learning research This internship provides an opportunity to develop research skills and work with others in a collaborative environment.

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.

Join Ekimetrics as an intern and immerse yourself in the dynamic world of Data Science and Machine Learning/AI. This unique opportunity offers a balanced experience, splitting your time equally between client projects and cutting-edge research and development. Contribute to real-world solutions while expanding your skills in a collaborative and innovative environment.

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.

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.