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…

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.

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

Your Impact Join the Panda Team within our Data & AI Platform as a Senior MLOps Engineer. Your role will be pivotal in constructing and sustaining secure ML pipelines that revolutionize our management of healthcare data at scale. Collaborating with a dedicated feature team, you will develop essential data infrastructure that supports data-driven decision-making while safeguarding the privacy of millions of patients. Being part of the tech team at Doctolib means creating innovative products and features that enhance the daily experiences of healthcare teams and patients alike. What You’ll Build Design and implement comprehensive ML model pipelines in production (including LLM and custom models) with robust deployment, evaluation, and monitoring frameworks. Oversee the data pseudo-anonymization architecture within ingestion services, transforming Tier 0 (personal identifiers) into Tier 1 (anonymized data) while ensuring data quality and model performance. Develop and maintain secure data export services with ML-based threat detection to mitigate attack vectors (SQL injection, etc.) through adaptive models instead of manual rules. Manage golden datasets and establish production model evaluation frameworks to ensure both anonymization quality and system reliability. Construct and maintain data pipelines that efficiently extract, transform, and load data from a variety of sources, accommodating multiple data formats (text, images, audio, video). Implement automation and orchestration tools utilizing ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and minimize manual efforts. Continuously monitor data and ML platforms for performance, reliability, and security; proactively identify and resolve issues. Mentor team members on MLOps best practices to reduce knowledge silos and enhance organizational capability. Life at Doctolib Tech Our solutions are built on a fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is tailored to specific country and healthcare specialty requirements. Our tech stack features Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native, ensuring we leverage AI ethically across our products to empower patients and healthcare professionals.

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

Are you looking to join a pioneering collective that embraces a permanent Test & Learn mindset, providing you with the tools to truly realize your ambitions? Look no further! At SFEIR, your career path is yours to navigate—whether it’s vertical, horizontal, or transversal. Your PlaygroundTech Stack: Python, FastAPI, LangChain, NLP, RAG, VertexAISFEIR AI: A dedicated journey to master generative AI and agent-based coding.Community: 140 Google Cloud certified professionals, 30 Google Authorized Trainers, 7 Google Developer Experts. Your Responsibilities- Develop unified, multimodal GenAI APIs (text, image, video, audio).- Design chatbots and conversational agents utilizing contextual RAG for hyper-personalized recommendations.- Engage in the creation of solutions from ideation to production.- Create AI digital twins to simulate and optimize complex ecosystems.- Establish robust Data Platforms to feed models while optimizing cutting-edge NLP pipelines. Your Profile- You have at least 3 years of experience, including significant exposure to ML or GenAI.- Proficiency with the VertexAI ecosystem and key concepts such as RAG, fine-tuning, and agent development.- You are passionate about technological advancements, constantly experimenting with new tools, and have personal projects or open-source contributions. Why Join SFEIR?- Each Sfeirian is supported by an Engineering Manager.- Opportunities for advancement into roles such as Lead GenAI Engineer, Staff Engineer, Principal Engineer, or Engineering Manager.- Continuous training with access to Google Cloud Skills Boost and certifications.- Participation in Google Cloud events, with an active community hosting over 50 events annually.

Are you passionate about guiding organizations through the transformation of their training systems, enhancing the skills of their employees, and professionalizing their Learning & Development practices?Join our Human Resources & Transformation Business Unit, which focuses on the evolution of HR organizations and the facilitation of skills transformations.As a Senior Consultant in Learning & Development, you will work directly with our clients (CAC 40, SBF 120, ETI/PME) on the following key areas:Learning Strategy & Training System TransformationDefine, design, and implement Learning strategies aligned with business priorities and skill development needs.Establish and structure comprehensive skill development plans: mapping, prioritization, and evolution pathways.Deploy corporate universities, academies, professional programs, and managerial pathways.Training Engineering & Learning JourneysDesign blended learning pathways: in-person, remote, e-learning, experiential workshops, and learning communities.Oversee educational production: engineering, content creation or adaptation, and facilitation of pedagogical committees.Develop innovative learning solutions: micro-learning, adaptive learning, and digital tools.Facilitate training sessions and co-development workshops.Digital LearningSupport the deployment or migration of LMS/LXP platforms (Cornerstone, 360Learning, CrossKnowledge, etc.).Structure the digital Learning ecosystem.Professionalize training teams and local administrators.Budget ManagementEstablish and monitor training budgets (construction, arbitration, tracking, optimization).Manage relationships with OPCO, Transition Pro, and other funders: documentation, assembly, tracking, and reporting.Produce training reports, social reports, and analyses for representative bodies.Change ManagementAssist managers and HR teams in adopting Learning systems.Facilitate workshops, training communities, and internal skills enhancement actions.

Role Overview atEXIS is hiring an AI Engineer in Paris to help build and refine artificial intelligence solutions. The role involves working closely with colleagues from different backgrounds to design, implement, and improve AI algorithms that support the company’s products and services. What You Will Do Collaborate with cross-functional teams to develop AI-driven features Design and implement machine learning algorithms Optimize existing AI models for better performance and reliability Location This position is based in Paris.

À propos de SkelloChez Skello, nous concevons la solution de gestion des ressources humaines la plus innovante pour optimiser la planification et la gestion des équipes de terrain.En Europe, les travailleurs de terrain représentent 50 % de la main-d'œuvre, mais seulement 20 % des solutions numériques leur sont effectivement dédiées. Skello a pour mission de remédier à cette lacune : notre plateforme collaborative et intuitive simplifie le quotidien des managers et des employés en optimisant et automatisant les tâches essentielles. Nous plaçons les équipes de terrain au centre de notre démarche. Grâce à des outils intelligents tels que notre Assistant Skello et notre planificateur intelligent, nous répondons directement à leurs besoins spécifiques. Notre objectif est clair : devenir la plateforme RH incontournable pour toutes les équipes de terrain en Europe. Quelques chiffres sur Skello • 7 secteurs d'activité clés • 25 000 entreprises font confiance à Skello aujourd'hui.• 600 000 employés utilisent Skello quotidiennement.• L'équipe Skello compte plus de 400 collaborateurs.• 3 bureaux européens : Paris, Lille et Barcelone. Notre culture d'entrepriseNous savons qu'atteindre notre mission nécessite de vivre nos valeurs au quotidien : SHIFT. Élever le niveau chaque jour Se soutenir mutuellement Imaginer demain, commencer aujourd'hui Prioriser les clients Prendre le travail au sérieux, mais pas soi-même

Role Overview airapps is hiring an AI/ML Engineer in Paris. This position focuses on building and improving artificial intelligence and machine learning features that shape our products and services. What You Will Do Work with colleagues from different teams to design, test, and deploy machine learning algorithms Apply AI and ML expertise to solve real product challenges Help deliver digital experiences that set airapps apart Location This role is based in Paris.

Role OverviewJoin our dynamic team at Mistral as a Data and Analytics Engineer. In this pivotal role, you will play a crucial part in designing, optimizing, and managing our data infrastructure. You will handle vast datasets, enabling our product teams to access secure and reliable data swiftly. Your expertise will be instrumental in enhancing our cutting-edge AI models and empowering business users to make data-driven decisions.Key Responsibilities• Design, construct, and maintain robust data pipelines, ETL workflows, and analytics frameworks. Implement automation for data quality assessments and validation processes.• Collaborate with cross-functional teams to identify data requirements and deliver actionable, high-quality solutions, specifically partnering with machine learning teams to facilitate model training, deployment pipelines, and feature stores.• Enhance data storage, retrieval, processing, and query performance while ensuring scalability and cost-effectiveness.• Establish and uphold data governance, metadata management, and data lineage protocols.• Safeguard data integrity, security, and compliance with prevailing industry standards.Your Profile• Master’s degree in Computer Science, Engineering, Statistics, or a related discipline.• A minimum of 3 years of experience in data engineering, analytics engineering, or a similar position.• Proficient in Python and SQL.• Familiarity with dbt.• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).• Excellent analytical and problem-solving skills with a strong attention to detail.• Proven ability to communicate complex data concepts effectively to both technical and non-technical stakeholders.Preferred Qualifications• Experience with data visualization tools (e.g., Tableau, Looker) is a plus.• Familiarity with machine learning concepts and practices.

About the RoleMaki is at the forefront of revolutionizing talent acquisition and management through innovative AI solutions. As an AI Engineer, you will blend machine learning research with software engineering to create impactful AI features. Your responsibilities will range from designing evaluation pipelines to integrating AI models into production systems, ensuring they are safe, efficient, and scalable.Develop AI Features: Create and implement comprehensive AI functionalities that enhance Maki’s HR agents, from initial prototypes to full production.Experiment with LLMs: Assess, fine-tune, and validate state-of-the-art models (both open-source and commercial) to optimize performance, cost, and safety.Create Evaluation Pipelines: Design frameworks to evaluate the accuracy, reliability, bias, and business impact of AI-driven functionalities.Scale Optimization: Focus on latency, caching, and cost-optimization techniques to prepare AI features for enterprise deployment.Safety & Compliance: Collaborate with security and product teams to ensure AI features adhere to enterprise standards for privacy, fairness, and reliability.Cross-Functional Collaboration: Work alongside product managers, designers, and engineers to transform ideas into deliverable features.Continuous Learning: Stay updated with the latest AI research, tools, and frameworks to keep Maki at the forefront of technology.

About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, optimize time management, and foster creativity and learning. Our cutting-edge technology is designed for effortless integration into everyday workflows.We are committed to democratizing AI with high-performance, open-source models, products, and solutions. Our robust AI platform addresses enterprise needs, whether deployed on-premises or in the cloud. Among our offerings is le Chat, an AI assistant enhancing both personal and professional life.As a forward-thinking team, we are passionate about AI's potential to reshape our world. Our diverse workforce thrives in a competitive landscape, driving innovation with creativity and collaboration. Our global teams span France, the USA, the UK, Germany, and Singapore, embodying a spirit of team-oriented collaboration.Join us at Mistral AI to be a part of a pioneering organization that is actively shaping the future of artificial intelligence. Together, we can create a significant impact. Discover more about our culture at https://mistral.ai/careers.Role SummaryAs an integral member of a product team focused on search, chat, documents, or audio capabilities, you will enhance AI-driven features through meticulous evaluations, prompt design, and rapid experimentation. You will take full ownership of your domain's AI quality, defining benchmarks for excellence, measuring performance, conducting experiments, and deploying successful solutions. Collaborate with our scientific team to drive measurable enhancements in quality, responsiveness, safety, and reliability.Key Responsibilities• Design and conduct evaluations tailored to your product area, including reference tests, heuristics, and model-assessed checks for search relevance, chat quality, document comprehension, and audio performance.• Establish and monitor crucial performance metrics, such as task success rates, helpfulness indicators, hallucination proxies, safety flags, latency, and cost-effectiveness.• Own the design and orchestration of prompts: create, test, and refine prompts as an essential aspect of your responsibilities.• Execute A/B tests on prompts, models, and configurations; analyze the results to inform decisions on rollout or rollback based on data-driven insights.• Implement observability for LLM calls, including structured logging and tracing, to enhance performance monitoring.

About UsAt Harmattan AI, we are at the forefront of developing autonomous and scalable defense systems. Recently, we successfully closed a $200M Series B funding round, elevating our valuation to $1.4 billion. As we expand our teams and capabilities, we are committed to delivering mission-critical systems to allied forces.Our mission is driven by core values: creating impactful technologies, striving for excellence, setting ambitious goals, and tackling the most challenging technical problems. In our rigorous work environment, we expect ownership, precision, and effective execution.About the RoleAs a Data Engineer within our Foundational team, you will be essential in building the robust data infrastructure that supports our advanced deep learning initiatives. Based in Paris, your role will involve managing extensive volumes of raw, unstructured video data (Electro-Optical and Infrared). Your objective will be to enhance the efficiency of our ML engineers by streamlining data access and ensuring reliable data pipelines.

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.

TLDR: We are seeking an experienced Audio and Multimodal Machine Learning Engineer to develop, train, and deploy cutting-edge speech, audio, and multimodal AI models for an advanced AI safety platform that handles over 100 million API calls each month.About UsWhite Circle is at the forefront of AI safety, dedicated to creating a reliable and optimized framework for AI systems. Our innovative platform is powered by simple natural-language policies that dictate the acceptable behaviors of AI models. We automate the testing, enforcement, and continuous enhancement of these policies to ensure they scale effectively.Backed by $11 million from leading investors, founders, and executives from organizations like OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, and Datadog.Processing over 100 million API calls monthly.We specialize in fine-tuning and training our own large language models to outperform both open-source and proprietary alternatives in speed and cost.Our team is small yet immensely focused. If you are eager to tackle complex challenges, quickly see your contributions in production, and shape the future of AI safety, we want you on our team.Your Responsibilities:Train and refine large-scale audio and multimodal models from scratch and using pretrained checkpoints.Design and execute experiments, including architectural modifications, data mixes, and training methodologies.Create and maintain audio data pipelines, transforming raw recordings into training-ready datasets.Optimize models for production environments, focusing on quantization, distillation, and streaming inference.Implement end-to-end model deployment, ensuring low-latency serving from research checkpoints.Collaborate with research teams to translate experimental concepts into deployable features.Establish key evaluation metrics and benchmarks that are crucial for product performance.Ideal Candidate:3+ years of experience in training large-scale deep learning models within audio, speech, or acoustic realms.Proficient in PyTorch and experienced in distributed training frameworks (such as DeepSpeed, FSDP, etc.).Familiar with audio/speech architectures like Audio Qwen, Whisper, HuBERT, or Conformer.Experience with multimodal architectures such as Audio Flamingo, Omni Qwen, etc.

Are you ready to take your career to the next level? Join Adaptive ML as a Backend Engineer and be part of a cutting-edge team that is transforming the landscape of machine learning. In this role, you will design, develop, and maintain scalable backend solutions that drive our innovative applications.

Role overview Panora, supported by Hexa, is hiring a Founding AI Engineer in Paris. As one of the first technical hires, this role shapes the company’s direction and leads the development of new AI solutions from the ground up. The team values original thinking and a focus on practical outcomes, encouraging new approaches in artificial intelligence. What you will do Design and build AI-driven products, playing a key role in technical decisions Collaborate with team members from diverse backgrounds to tackle complex challenges Lead projects aimed at making a meaningful impact in the industry Location This role is based in Paris.