Senior/Staff Machine Learning Engineer - Health Evaluation - AI Teams

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, i…

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!

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.

About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline workflows, enhance creativity, and promote efficient learning. Our innovative technology seamlessly integrates into everyday operations, delivering tangible benefits.We are committed to democratizing AI through high-performance, optimized, and open-source models and solutions. Our comprehensive AI platform caters to enterprise requirements, whether in on-premises or cloud environments. Our flagship product, le Chat, serves as an AI assistant tailored for both personal and professional use.As a dynamic and collaborative team, we are passionate about AI's potential to revolutionize society. Our diverse workforce excels in competitive environments and is dedicated to fostering innovation. We have teams located across France, the USA, the UK, Germany, and Singapore, sharing a culture that values creativity, humility, and teamwork.Join us in shaping the future of AI at a pioneering company. Together, we can make a significant difference. Discover more about our culture at https://mistral.ai/careers.About The RoleAs an Evaluation Engineer within the Applied AI team, you will be a key member of Mistral's customer-facing technical organization. Our mission is to collaborate directly with enterprise clients, guiding them from pre-sales through implementation to deploy advanced AI solutions that yield measurable business outcomes. Your role will blend deep machine learning expertise with robust customer engagement, functioning like a startup CTO who oversees complete project execution.In the realm of AI, many brilliant ideas remain unmeasured or unrealized. As our inaugural Evaluation Engineer, you will establish the methodology, develop the necessary infrastructure, and clarify what constitutes 'production-ready' across various sectors and applications.Your responsibilities will include designing and implementing evaluation systems that empower our clients to assess model performance tailored to their unique use cases. You'll be instrumental in building a resilient evaluation infrastructure and collaborating closely with both research and client-facing teams.While our research teams develop evaluations for cutting-edge capabilities, our clients seek practical, domain-specific, risk-aware evaluations that are production-ready. You will create frameworks that assess whether a medical summarization model is reliable or if a legal assistant can accurately interpret complex legal texts.

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.

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.

The AI Platform team at Datadog is at the forefront of innovation, developing the infrastructure that fuels next-generation generative AI features across our diverse product range. As a Senior Software Engineer on the Evaluation and Annotation team, you will play a pivotal role in designing and enhancing the systems that define and evaluate AI quality at scale. Your responsibilities will include creating evaluation pipelines, monitoring model performance, and establishing annotation workflows that assess correctness, safety, bias, and reliability in real-world applications. Your contributions will directly influence how Datadog develops and sustains reliable AI capabilities. You will collaborate closely with product, machine learning, and infrastructure teams to set quality standards, integrate evaluation systems with our observability platform, and build human-in-the-loop feedback mechanisms that ensure continuous improvement of model behavior. At Datadog, we cherish our office culture, valuing the relationships we build, the creativity we foster, and the collaboration that arises from working together. Our hybrid workplace model enables employees to cultivate a work-life balance that suits their individual needs.

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.

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 collaborate with a diverse team of skilled Machine Learning Engineers, software developers, ML operations experts, and healthcare professionals to build and implement AI models that truly make a difference in people's lives. Your work will focus on streamlining the process for patients to locate their healthcare providers, manage their long-term care plans, and assist our business team in expanding Doctolib's presence in various new markets. We are seeking a Senior Machine Learning Engineer to join our dedicated team focused on patient solutions. Your responsibilities will include, but are not limited to: Identifying the optimal technical solutions to meet product domain objectives Implementing and testing your innovative ideas Deploying algorithms in a production environment with guidance from our Machine Learning platform team Measuring performance improvements and continually refining your methodologies Who You Are You might be the perfect addition to our team if you: Possess strong analytical skills, are results-driven, and prioritize user experience Have a minimum of 7 years of experience in Machine Learning, Deep Learning, or AI Engineering, with proven success in transitioning models from prototype to large-scale production Have extensive expertise in Information Retrieval and modern retrieval technologies, including: Hybrid search methods (sparse + dense) Large-scale embeddings and vector databases Multi-stage retrieval and re-ranking systems RAG architectures and retrieval processes for multimodal use cases Tool-based integrations for incorporating external data and functionalities Are proficient in developing applications using LLM/VLM, including: Fine-tuning LLM and VLM models Implementing Mixture-of-Experts (MoE) architectures Applying Knowledge Distillation techniques Engaging in prompt engineering and tool utilization Evaluating and benchmarking LLM/VLM systems Have hands-on experience with agentic AI, including constructing and orchestrating agents based on ADK frameworks

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.

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 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.

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.

About Yubo Yubo is a social discovery platform designed for authentic online connections. Unlike traditional social networks, Yubo removes likes and follows, encouraging genuine interaction, especially among Gen Z users. The platform supports millions worldwide, aiming to redefine how people connect online, both now and in the future. Safety sits at the core of Yubo’s mission. The team works closely with industry experts and NGOs to set high standards for child protection and digital well-being. This commitment shapes the product and the company culture, with a focus on user protection, support, and education. Role Overview: Staff Machine Learning Engineer Machine learning is central to Yubo’s growth and product evolution. As a Staff Machine Learning Engineer, you will work at the intersection of large-scale data and ambitious technical goals. The role involves tackling challenges across a global user base, with data spanning images, text, and real-time interactions. Key Areas of Impact Content moderation for images, text, and user behaviors Building and refining recommendation systems and user engagement strategies Developing behavioral detection and trust/safety models Exploring new use cases, such as dynamic pricing and growth optimization Yubo’s machine learning infrastructure is evolving. Some existing models are not yet fully integrated, and lifecycle management processes are still maturing. As the company increases its reliance on ML, there’s a growing need for reliable, well-structured systems that can scale with demand. Many ML applications remain unexplored, offering significant room for innovation. Establishing a scalable, dependable ML operating model will be key to unlocking this potential. Location Paris or full remote.

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 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...