AI/Machine Learning Research Intern (m/f/x)

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.Collaboratin…

About the Institute of Foundation ModelsWe are an innovative research laboratory dedicated to the development, understanding, and application of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-based economy.Joining our team means you will engage in the advanced training of state-of-the-art foundation models, collaborating with leading researchers, data scientists, and engineers. You will address some of the most pressing and transformative challenges in AI development, contributing to pioneering AI solutions with the potential to revolutionize entire industries. Your strategic and innovative problem-solving skills will be vital in positioning MBZUAI as a global leader in high-performance computing for deep learning, driving discoveries that will inspire future AI visionaries.The RoleAs a Research Scientist focusing on speech and audio machine learning, you will play a key role in designing and training cutting-edge end-to-end neural speech models. You will be tasked with developing crucial intellectual property, evolving beyond traditional ASR to TTS systems and creating native audio-to-audio multimodal architectures.

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

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

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.

As a key member of the Datadog AI Research (DAIR) team, you will collaborate closely with research engineers and partner with Datadog's Product and Engineering teams. Your role will focus on tackling fundamental research challenges and transforming groundbreaking research into impactful solutions for our customers.With our established track record of delivering AI-powered innovations such as Bits AI, Watchdog, and Toto, Datadog AI Research is dedicated to addressing high-risk, high-reward projects that are rooted in real-world issues related to cloud observability and security.We are currently concentrating on three main research domains:Observability Foundation Models – Developing cutting-edge models that enhance forecasting, anomaly detection, and multi-modal telemetry analysis (including logs, metrics, traces, etc.). These models will empower our agents to perform native analysis on various telemetry data.

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.

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

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

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

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

Join Safran AI as a Deep Learning Scientist Intern and immerse yourself in cutting-edge technology. In this role, you will work closely with our team of experts on innovative projects that drive advancements in artificial intelligence and machine learning.

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.

We are seeking a passionate Data/AI Analyst Intern for a six-month internship starting in June within our AI Builders Research team.Your mission? Enhance your skills in data science and AI, particularly in generative AI, while gaining insights into the technological developments impacting large enterprises.Your Responsibilities:Conduct scientific research to analyze and summarize the latest technological advancements in AI, with a focus on LLMs.Communicate scientific findings to colleagues on trending AI topics and lead workshops and training sessions on Data and AI.Investigate and analyze the potential applications of data, AI, and generative AI in businesses, as well as the impact of these technologies on job transformations.Study market Data/AI solutions, evaluating their products, performance, and market positioning.Review methods for large-scale evaluation and deployment of generative AI solutions.Generate research reports on the evolution of generative AI solutions in the market, their performance in specific use cases, and provide technical recommendations on the most suitable solutions.Develop proof-of-concept projects to test various LLMs and agent architectures.Why Join AI Builders?As a part of France's leading Data and AI strategy firm, you will have access to the most exciting, challenging, and innovative AI industrial projects, working directly with our consultants on assignments involving the executive teams of major corporations.

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.

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!

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.

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.