Senior Machine Learning Engineer - AI Teams (x/f/m)

What You Will Do At Doctolib, we are dedicated to revolutionizing healthcare delivery through the innovative use of artificial intelligence. As a Senior Machine Learning Engineer, you will be instrumental in creating and executing advanced AI solutions that enhance access to and quality of care for individuals everywhere. This position allows you to collabor…

Your Role Join our Clinical team as a Senior Staff Machine Learning Engineer within the AI and Machine Learning Department at Doctolib. In this pivotal role, you will steer the technical direction of innovative AI systems that enhance clinical decision-making and improve patient care. You will confront complex challenges in healthcare AI, including developing voice-assisted consultation tools and creating evaluation frameworks for large language models (LLMs) to ensure clinical safety and efficacy. This position merges cutting-edge R&D with strategic technical leadership, influencing how we implement AI in regulated healthcare settings. Key Responsibilities: Technical Strategy & Architecture: Define the long-term technical roadmap for clinical ML systems, guiding model architecture choices through to production deployment. Make informed build vs. buy decisions, striking a balance between custom development and utilizing foundational model APIs. Establish safety standards for healthcare implementations, including shadow testing, phased rollouts, and human-in-the-loop processes. End-to-End ML Delivery: Lead the design and deployment of LLM-powered clinical agents, such as consultation summaries and clinical recommendation systems. Implement thorough evaluation frameworks with real-world clinical data, ensuring outputs comply with clinical accuracy and safety benchmarks. Develop production infrastructure, including model and prompt versioning, safety measures, uncertainty quantification, and performance monitoring. Devise a bold strategy for achieving both online and offline performance targets, enhancing satisfaction among healthcare professionals. Leadership & Impact: Mentor fellow ML engineers and applied scientists, raising technical standards across the organization. Oversee cross-departmental initiatives involving Product, Medical Affairs, Legal, and Compliance teams. Transform clinical requirements into actionable research questions and production systems that significantly enhance patient outcomes. Collaborate with medical, legal, and compliance teams to adhere to EU regulatory standards (e.g., GDPR, MDR, forthcoming EU AI Act) and market expectations.

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!

Your RoleAt Doctolib, we are dedicated to revolutionizing healthcare delivery through the innovative use of AI technologies.As a Senior/Staff Machine Learning Engineer, you will be pivotal in crafting, deploying, and enhancing the evaluation framework that guarantees our AI Health Companion operates safely, reliably, and supportively for millions of users, including both patients and healthcare professionals.Joining a dynamic, cross-disciplinary team of Machine Learning Engineers, Product Engineers, and Medical Experts, you will develop strong evaluation pipelines for agentic AI systems—models adept at reasoning, planning, and navigating intricate healthcare data.Your key responsibilities will encompass:Establishing and owning the evaluation strategy for our AI systems, including metrics, protocols, datasets, and tools.Creating and overseeing automated evaluation pipelines to track model quality, safety, and alignment through various iterations.Conducting systematic experiments to evaluate reasoning, factual accuracy, robustness, and overall user experience.Collaborating closely with model developers and research scientists to provide insights and foster continual improvement.Contributing to research and internal knowledge sharing regarding LLM evaluation methodologies and best practices.Our Technological LandscapeWe operate on a fully cloud-native platform that integrates web and mobile app interfaces, supports multiple languages, and is tailored to meet the specific requirements of various healthcare specialties. Our approach involves modularizing our platform to function within a distributed architecture through reusable components.Our technology stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI applications across our products to empower both patients and healthcare professionals. Explore our AI vision here!

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.

Our Mission? To empower small and medium-sized enterprises (SMEs) to thrive in their business endeavors and beyond by offering Europe's premier financial workspace. We seamlessly integrate advanced business tools—such as efficient invoicing, comprehensive spend management, and intuitive pre-accounting—with dedicated support available 24/7, enabling businesses to effortlessly navigate their financial landscape.Our Journey: Since our inception in July 2017, founded by Alexandre and Steve, Qonto has rapidly established trust, now serving over 600,000 clients. Our dedicated team of 1,600+ Qontoers has propelled us to be recognized in the LinkedIn Top Companies ranking in France!Our Values:Customer Commitment | We prioritize customer needs in every decision.Responsibility | Take ownership and drive results.Collaboration | Make teamwork seamless and productive.Excellence | Continuously strive to exceed expectations.Integrity | Uphold ethical standards and respect for all.Our Commitment to Diversity: At Qonto, we believe in cultivating an inclusive environment that fosters growth for everyone. We assess candidates based on their skills and potential, with an emphasis on diversity—currently comprising 55% international team members, 44% women, and 20% parents. Join us in shaping a workplace that values diversity and individual contributions.Learn about our initiatives for a discrimination-free hiring process.Join our AI Product team as a Senior Machine Learning Engineer to innovate and deploy AI solutions for over 500,000 business clients, leveraging Generative AI alongside established machine learning techniques.

Join Our TeamAt Doctolib, we are on a mission to revolutionize healthcare access and enhance the quality of life for healthcare professionals. As a part of our commitment to responsible artificial intelligence, we are seeking a Master’s level intern to assess biases in a pediatric dialogue system by analyzing interactions between AI and patients.Collaborating with Doctolib's data scientists and researchers from LISN (Université Paris-Saclay), you will help ensure fairness and reliability in our AI health solutions. One of the key objectives of this internship is to create an annotated and anonymized dataset that will be published as open-source. This five-month internship will allow you to work on a project with significant societal impact, at the intersection of natural language processing, health, and AI ethics.Your responsibilities will include:Conducting a literature review on bias assessment methods in health-related language modelsAnalyzing a corpus of anonymized dialogues between the AI system and pediatric patients/parents to identify potential biasesDefining and implementing an annotation scheme to characterize identified biasesBuilding an evaluation framework based on demographic characteristic disaggregationApplying this framework to the dialogue system and comparing results with other autoregressive models

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.

Become a pivotal member of the Ubisoft AI Initiatives team, where you will help shape the future of information management at Ubisoft. Our projects range from advanced hybrid search systems to sophisticated agentic reasoning applications, all aimed at converting raw data into actionable insights for rapid decision-making. If you are eager to redefine the interaction between humans and AI in solving intricate challenges, this is the perfect opportunity for you.We are looking for a talented Senior Machine Learning Engineer who will be responsible for designing, constructing, assessing, and refining AI models and intelligent systems that drive our applications. Your work will bridge the fields of machine learning research, large-scale data systems, and production engineering, converting state-of-the-art AI innovations into solid, scalable solutions.Key ResponsibilitiesAI System Design & Optimization: Craft, refine, and enhance machine learning models, including those based on large language models (LLMs), retrieval methods, and multimodal systems for practical application.Development of Intelligent Retrieval & Agentic Pipelines: Create and enhance retrieval-augmented generation (RAG) pipelines and agent-based workflows, incorporating embeddings, vector searches, orchestration, and evaluation methodologies.Insight Extraction from AI Utilization: Utilize internal AI platform data (chat interactions, prompts, usage logs) to conduct topic extraction, clustering, and trend analysis, transforming usage patterns into actionable product insights.Model Production & Scaling: Deploy, supervise, and optimize machine learning models in cloud-native environments, ensuring they are scalable, reliable, and cost-effective.Performance Evaluation & Enhancement: Establish evaluation metrics, conduct experiments, and continuously enhance model quality, robustness, and user impact.Collaborative Engineering & Product Integration: Work closely with software engineers, site reliability engineers (SREs), and product teams to integrate AI systems within scalable architectures and deliver impactful solutions.

Join our dynamic team at Ubisoft as a Senior Machine Learning Engineer focusing on cutting-edge AI initiatives. In this role, you will leverage your deep understanding of machine learning algorithms and data analytics to develop innovative solutions that enhance our gaming experiences. Collaborate with cross-functional teams to drive AI projects from conception to implementation, ensuring top-notch performance and scalability.

Join Squad Maât at Doctrine as a Senior Machine Learning Engineer. In this role, you will collaborate with cutting-edge technologies and lead innovative projects that shape the future of machine learning. Your expertise will be pivotal in enhancing our predictive models and optimizing data-driven solutions.

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.

Join Harmattan AI as a Machine Learning Engineer specializing in Semantic Scene Understanding. In this role, you will leverage cutting-edge machine learning techniques to enhance our capabilities in interpreting and understanding complex visual environments. You will collaborate with a talented team of professionals dedicated to pushing the boundaries of AI technology.

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.

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.

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.

Your RoleJoin Doctolib as we transform healthcare delivery through groundbreaking AI technologies centered on medical reasoning. In the position of Senior Staff Research Scientist, you will spearhead the development of innovative AI systems that enhance clinical decision-making and assist healthcare professionals in their everyday practices. Your work will bridge the gap between machine learning and healthcare, constructing models that comprehend medical knowledge, navigate intricate clinical scenarios, and support medical practitioners in delivering superior care.Your key responsibilities include:Tackling Real-World Healthcare Challenges: Design and develop state-of-the-art machine learning models, particularly in Natural Language Processing (NLP) and large language models, to optimize healthcare processes, improve patient experiences, and enable scalable intelligent health solutions.Innovate & Experiment: Conduct research and prototype pioneering algorithms and architectures, remaining at the cutting edge of AI/ML advancements. Convert innovative concepts into functional prototypes, utilizing the latest breakthroughs in deep learning and generative AI.Collaborate Across Teams: Partner with product teams, engineers, medical specialists, and other stakeholders to translate business requirements into impactful research initiatives. Effectively communicate technical ideas and findings to both technical and non-technical audiences.Drive Impact: Analyze vast, complex datasets to derive actionable insights, define essential metrics, and rigorously assess model performance.Share & Learn: Elevate Doctolib’s AI capabilities by disseminating findings within the team and the broader ML community through publications, presentations, and workshops. Mentor and guide fellow scientists and engineers in applying best practices.

About the RoleMistral AI is on the lookout for a dynamic Applied AI Engineer who will play a pivotal role in driving the adoption of our cutting-edge products among enterprise clients while tackling intricate technical challenges.As part of the Applied AI team, which serves as Mistral's client-facing technical unit, you will engage directly with enterprise customers from the pre-sales phase through to implementation, ensuring the deployment of AI solutions that yield tangible business results.Our team merges extensive machine learning expertise with exceptional customer engagement skills, functioning similarly to startup CTOs who oversee project execution from start to finish. By joining us, you will connect innovative AI research with real-world applications, ensuring that our solutions are robust, scalable, and tailored to meet the needs of our clients while aligning with Mistral's technological vision.Key Responsibilities- Independently deploy production use cases that significantly impact various industries.- Collaborate on state-of-the-art generative AI applications, spanning consumer products and industrial use cases, to drive critical technological transformations for our clients.- Partner with researchers and fellow AI engineers on complex projects, including fine-tuning and implementing advanced LLM applications, and contribute to our open-source codebases for tasks like inference and fine-tuning.- Participate in pre-sales discussions to grasp potential clients' needs and challenges, providing technical expertise on our products and elucidating Mistral technologies to various stakeholders.- Collaborate with product and scientific teams to continuously enhance our product and model capabilities based on client feedback.Our Work Culture in Applied AI- We prioritize both people and results.- What counts is what you deliver, not the time spent on it.- We minimize bureaucracy to maintain urgency and foster innovation; the best ideas prevail, regardless of their origin.- We encourage asking 'why' to derive the best solutions through understanding rather than imitation.

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 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.