Applied AI, Forward Deployed Machine Learning Engineer - EMEA

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.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only reliable but also interpretable and steerable. Our goal is to ensure that AI technology remains safe and advantageous for our users and society. We are a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders collaborating to create beneficial AI systems.As a member of Anthropic's Applied AI team, you will take on the role of a Forward Deployed Engineer (FDE) and engage directly with our most strategic clients to foster the adoption of transformative AI solutions. You will work closely with client teams to deliver advanced AI applications that address real-world business challenges. Our FDEs play a crucial role in accelerating the use of existing products and innovating new applications based on our cutting-edge models.Your work will involve close collaboration with our post-sales, product, and engineering teams, combining your engineering expertise with a deep understanding of advanced AI applications and customer interaction skills. You will analyze client workflows and develop innovative solutions to complex business challenges while upholding our high standards for safety and reliability.At the forefront of enterprise AI deployments, you will be one of the foundational FDEs shaping our forward-deployment initiative. We expect our FDEs to work autonomously, thrive in ambiguity, and represent Anthropic at the highest level within our clients' environments. This is a significant responsibility, as you will play a key role in advocating for our mission within the enterprise.

Mistral AI develops open-source AI models and products designed for enterprise use, supporting both on-premises and cloud deployments. The company’s tools, including Le Chat, La Plateforme, and Mistral Compute, help organizations streamline workflows and foster creativity. Mistral AI operates internationally, with teams in France, the USA, the UK, Germany, and Singapore, and emphasizes collaboration and innovation. More details about company culture can be found here. Role overview The Applied AI for Critical and Sovereign Institutions team focuses on building secure, high-impact AI systems for organizations in regulated and strategic sectors. This group partners directly with clients to design, deploy, and maintain solutions that meet demanding standards for security, reliability, and compliance. Mistral AI is hiring an Applied AI Engineer in Paris to join this specialized team. The position centers on leading the technical design, implementation, and deployment of AI solutions tailored for critical infrastructure and sovereign institutions. Projects in this area support essential societal and operational functions. What you will do Independently deploy AI solutions to production for use cases with substantial operational and strategic impact. Develop advanced GenAI applications for sovereign institutions and critical infrastructure, collaborating closely with clients to address their specific needs. Work with researchers, AI engineers, and product teams on complex customer projects, including advanced fine-tuning, large language model (LLM) applications, and contributions to open-source codebases. Take part in pre-sales discussions to understand client requirements and challenges, offering technical input on Mistral’s products and technologies.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, enhance productivity, and foster creativity. Our innovative technology integrates effortlessly into everyday workflows, making AI accessible and beneficial for all.We are committed to democratizing AI through our suite of high-performance, optimized, open-source models and solutions. Our comprehensive AI platform is tailored for enterprise needs, whether deployed on-premises or in the cloud. Our flagship offering, le Chat, serves as an AI assistant that enhances both personal and professional lives.Our team is a vibrant and collaborative mix of passionate professionals dedicated to the potential of AI to reshape society. With team members spread across France, the USA, the UK, Germany, and Singapore, we thrive in competitive settings and prioritize innovation. We are known for our creativity, humility, and team spirit.Join us in our mission to redefine the future of AI. Together, we can make a significant impact. Discover more about our unique culture at mistral.ai/careers.Job Overview:We are looking for a Technical Lead in Applied AI to spearhead the technical strategy and execution of complex AI solutions tailored for our enterprise clients. In this pivotal role, you will lead project teams of Applied AI Engineers, ensuring the successful implementation of Mistral AI products while developing impactful and scalable AI use cases.You will serve as the primary technical liaison for our most important clients, guiding them through every stage—from pre-sales to post-deployment—while closely collaborating with research, product, and engineering teams to influence the evolution of our offerings.As a Technical Lead, you will connect cutting-edge AI research with practical enterprise applications, ensuring our solutions are robust, scalable, and aligned with both client expectations and Mistral’s technological vision.Key Responsibilities:- Act as a key individual contributor, writing essential code for our complex projects. You will engage hands-on to mitigate risks associated with critical components, remaining deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams in executing project objectives, ensuring alignment with both business goals and customer requirements.

Role Overview SIA is looking for an Applied AI Engineer in Paris to help build and integrate AI solutions across a range of projects. This role focuses on applying advanced technologies to real-world challenges, with the goal of improving processes and outcomes for clients. What You Will Do Develop and implement AI models and systems for various applications Work closely with project teams to integrate AI into existing workflows Contribute technical expertise to enhance project efficiency and results Location This position is based in Paris.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team collaborates closely with clients to transform groundbreaking research into scalable production systems. We thrive at the convergence of customer engagement and foundational platform development.About the PositionAs a Forward Deployed Engineer, you will spearhead intricate end-to-end implementations of state-of-the-art models in collaboration with our key strategic partners. Your responsibilities will encompass discovery, technical scoping, system architecture, development, and the production rollout, working directly with our customer engineering and domain experts.You will evaluate success through the adoption of production systems, quantifiable workflow improvements, and feedback-driven evaluations that influence our product and model strategies. Your role will involve close collaboration with our Product, Research, Partnerships, Governance, Risk & Compliance, Security, and Go-To-Market teams.This position is based in Paris, with a hybrid work model of three in-office days per week. We provide relocation assistance and require travel up to 50% of the time.Your ResponsibilitiesLead the technical execution of multiple deployments from initial prototypes to stable production environments.Develop comprehensive full-stack systems that deliver value to customers while enhancing our learning processes.Work closely with customer teams to understand their requirements and facilitate the adoption of your solutions.Define project scopes, sequence deliveries, and proactively eliminate obstacles.Balance trade-offs between project scope, speed, and quality; adapt plans to ensure timely delivery.Contribute directly to code development when clarity or progress is at stake.Document effective work patterns into tools, playbooks, or foundational elements for broader team use.Provide field insights that help Research and Product teams understand model performance and areas for enhancement.Ensure team momentum through clear communication and accountability.Ideal Candidate ProfilePossess over 5 years of engineering or technical deployment experience, particularly in customer-facing roles.Demonstrate experience in scoping and delivering complex systems in fast-paced or uncertain environments.Proficient in writing and reviewing production-grade code across both frontend and backend, utilizing Python, JavaScript, or similar languages.

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.

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 Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into robust production systems. We operate at the nexus of customer engagement and core platform innovation.About the RoleWe are seeking passionate, customer-oriented software engineers to develop tailored software solutions utilizing OpenAI’s APIs to address real-world challenges faced by our clients. As a Forward Deployed Software Engineer (FDSWE), you will collaborate with customers and fellow engineers to architect and implement scalable solutions that tackle complex issues. You will create abstractions that resolve customer challenges, enhancing our capacity for high-speed, high-quality delivery across all Forward Deployed projects.In this role, you will work closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers on shared accounts, while also providing valuable feedback to our Research and Applied Product and Engineering teams.This position is based in Paris, following a hybrid work model of three days in the office each week. We offer relocation support and require travel up to 50% of the time.Your Responsibilities:Engage deeply with key customers to gain a thorough understanding of their business challenges and technical needs.Design, architect, and develop comprehensive full-stack solutions using a methodical, experiment-driven approach.Draft detailed scopes of work and project plans for both prototype proofs of concept and full production implementations.Act as a technical expert and trusted advisor, collaborating directly with customers' technical teams to ensure project success.Work alongside Product, Research, and Applied teams to facilitate seamless customer experiences and gather actionable product feedback.Contribute to our internal knowledge base by documenting best practices and insights from customer engagements to enhance the Forward Deployed Engineering function.Ideal Candidate Profile:At least 7 years of professional full-stack engineering experience (excluding internships), with a strong focus on customer-facing roles.Proficient in modern programming languages and frameworks, with a proven track record in developing scalable applications.Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly to non-technical stakeholders.Experience working in a hybrid team environment, balancing remote and in-office collaboration.A proactive and adaptable mindset, with a passion for leveraging technology to drive positive customer outcomes.

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.

Transforming the World Around UsPalantir develops the world's leading software for data-driven decision-making and operations. By providing the right data to those who need it, our platforms empower our partners to develop life-saving medications, predict supply chain disruptions, locate missing children, and more.Position OverviewAs a Forward Deployed Software Engineer (FDSE), you will work directly with government clients to identify their most critical challenges and create solutions that leverage their data. Our clients rely on Palantir's platforms for their most essential operations, often initiating projects with open-ended questions such as “Why are our flights frequently delayed?” or “How can we more effectively identify money laundering cases?”In your role as an FDSE, you will utilize your problem-solving abilities, creativity, and technical skills to help organizations maximize the value of their data, making a significant impact on the world. You will have the opportunity to gain rare insights and contribute to some of the most pivotal industries and institutions globally.Your responsibilities as an FDSE resemble those of a technical lead in a startup: you will collaborate in small teams with minimal supervision and be accountable for the end-to-end execution of high-stakes projects. Your day may involve discussing architecture with fellow engineers, managing large-scale data, coding custom web applications, engaging with the client's leadership team, or strategizing for your team.Whether you aspire to become an entrepreneur or a leader in engineering, we believe that Palantir is the ideal environment to cultivate these aspirations, surrounded by a supportive team. You will learn to dissect complex problems, understand the costs and implications of their solutions, and explore new technologies and programming languages, potentially developing them yourself. You will work independently and make decisions autonomously, all within a community that will challenge and support you throughout your journey and development.Our Principles• Impact: We undertake significant and ambitious projects that make the world a better place.• Responsibility: We manage our projects from inception to completion, ensuring accountability.

About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, optimize time management, and foster creativity and learning. Our innovative technology is engineered for seamless integration into everyday work environments.We democratize AI through our high-performance, optimized, open-source models, products, and solutions. Our robust AI platform caters to enterprise demands, whether deployed on-premises or in cloud infrastructures. Among our offerings is 'le Chat', an AI assistant designed for both personal and professional use.We are a dynamic and collaborative team, deeply passionate about AI’s potential to revolutionize society. Our diverse workforce excels in competitive settings, dedicated to driving innovation. With teams spread across France, the USA, the UK, Germany, and Singapore, we thrive on creativity, humility, and team collaboration.Join us in redefining the future of AI. Together, we can make a significant impact. Discover more about our culture at https://mistral.ai/careers.About The JobMistral AI is on the lookout for an Applied AI Engineer to champion the adoption of our products, partnering with clients to tackle intricate technical challenges.The Applied AI Engineer - Software Engineer will play a crucial role within our Applied AI Engineering team, focused on ensuring the successful implementation of Mistral AI products. This role involves close collaboration with clients from pre-sales to post-implementation, ensuring our solutions not only meet but exceed client expectations.What You Will Do• Collaborate intensively with researchers, AI engineers, and product engineers on sophisticated customer projects, embedding advanced AI models into client software solutions.• Design, develop, and manage scalable full-stack applications, facilitating seamless interaction between front-end and back-end components.• Work alongside customers to craft complex use cases, providing expert guidance for optimal integration with back-end and front-end interfaces.• Partner with our product and science teams to continually enhance our product offerings and model capabilities, driven by customer feedback.About You• You possess fluency in English.• You hold a degree in Computer Science, Software Engineering, or a related discipline.• You have a minimum of 2 years experience as a technical contributor in advanced technology environments.• You demonstrate strong coding proficiency in Python and TypeScript.• Your passion for AI and innovation is evident in your work ethic and collaborative spirit.

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.

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!

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.

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.

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.

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

About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save valuable time, and enhance both learning and creativity. Our solutions are meticulously crafted to integrate effortlessly into the fabric of everyday work life.We democratize AI through advanced, optimized, and open-source models, products, and solutions that are at the forefront of technology. Our robust AI platform is tailored to meet the diverse needs of enterprises, whether deployed on-premises or in cloud environments. Among our offerings is le Chat, your AI assistant that enhances both life and work.As a vibrant and collaborative team, we are deeply passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in competitive settings and is dedicated to fostering innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we pride ourselves on being creative, humble, and team-oriented.Join us at Mistral AI to be part of a pioneering organization that is shaping the future of artificial intelligence. Together, we can create a significant impact. Discover more about our culture at mistral.ai/careers.About The RoleMistral AI is on the lookout for talented Applied Scientists and Research Engineers to spearhead innovative research initiatives and collaborate with clients on complex projects. You will be tasked with developing state-of-the-art models across various modalities, including text, image, and speech. By pioneering novel methodologies and research concepts, you will apply these models across a wide range of use cases and industry domains. In collaboration with internal and external teams in science, engineering, and product management, you will deliver high-impact AI solutions that drive results.Key Responsibilities• Execute pre-training, post-training, and deployment of state-of-the-art models using clusters equipped with thousands of GPUs, approaching challenges like OOM errors or NCCL issues with confidence.• Generate and curate data for pre-training and post-training phases, conducting evaluations to ensure model performance consistently exceeds expectations.• Create essential tools and frameworks to streamline data generation, model training, evaluation, and deployment processes.• Collaborate with cross-functional teams to address complex use cases utilizing agents and RAG pipelines.• Oversee research projects and maintain effective communication with client research teams.Qualifications• Proficient in English with outstanding communication skills, able to demystify complex technical concepts for both technical and non-technical audiences.• Expertise in PyTorch or JAX is essential.• Comfortable contributing to large codebases and capable of navigating independently with minimal guidance.• A strong analytical mindset with a passion for continuous learning and improvement.

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...