Machine Learning & AI Software Engineering Internship

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.

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.

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...

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 Labelium as a Senior Data Science Consultant, where you will leverage your expertise in data analysis and machine learning to drive innovative solutions for our clients. In this role, you will collaborate with cross-functional teams, turning complex data into actionable insights that enhance decision-making processes. Your contributions will be pivotal in shaping our data-driven strategies.

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.

Internship Overview sia is looking for a Final Year Intern in Data Science & AI Consulting to join the Paris team. This internship offers students in their final year a chance to work directly with experienced consultants on real projects involving data science and artificial intelligence. What You Will Do Support the delivery of data-driven solutions for clients Work on live projects that apply AI and analytics to business challenges Contribute to team discussions and problem-solving sessions Help analyze data and develop actionable insights What You Will Learn Practical skills in analytics and machine learning Exposure to current technologies used in data science and AI Understanding of consulting approaches in the tech sector Collaboration within a team focused on quality and results Location This internship is based in Paris.

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.

About TeadsTeads is a premier omnichannel advertising platform dedicated to delivering exceptional results for brand and performance advertisers across various screens. Our mission focuses on achieving impactful business outcomes through cutting-edge predictive AI technology that seamlessly connects high-quality media, visually stunning brand creatives, and contextually relevant addressability and measurement. With partnerships with over 10,000 publishers and 20,000 advertisers globally, Teads has established itself as a leader in digital innovation. We are headquartered in New York City and boast a diverse global team of approximately 1,700 professionals across more than 30 countries.For further details, please visit www.teads.com.The Teads Data Science Summer School, launched in 2018, is an elite, intensive program aimed at significantly enhancing the data science and machine learning expertise of students and budding professionals.This immersive, week-long program merges theoretical frameworks with practical applications, offering participants an in-depth understanding of data science while equipping them with highly sought-after, state-of-the-art skills from the industry. Teads is committed to excellence through collaboration and education in the digital landscape.If you have a passion for data and enjoy coding, this is a golden opportunity to elevate your career. Throughout the week, you will collaborate with our talented data scientists and engineers, experiencing the full lifecycle of real-world data science projects. Utilizing extensive and realistic advertising datasets, you will implement advanced data science methodologies to tackle genuine industry challenges on a grand scale. This program offers an exceptional chance to gain practical knowledge and hands-on experience.To be eligible, you should have robust coding skills coupled with a foundational understanding of data science and machine learning.The program is completely FREE, covering all activities, lunches, coffee, and snacks. However, participants are expected to fully commit to the entire duration of the program.Who will gain the most from attending the Data Science Summer School?The Teads Data Science Summer School is ideal for individuals eager to enhance their skills in data science and machine learning, looking to apply their knowledge in a practical setting.

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

nexton is looking for a Lead Data Engineer / Machine Learning Specialist to join its Paris team. This role centers on developing and refining data solutions that help achieve business objectives and improve daily operations. Key responsibilities Design and construct data pipelines for analytics and machine learning projects Enhance data flows to ensure reliability and efficiency Collaborate with teams throughout the company to align data efforts with strategic goals Use machine learning techniques to uncover insights and inform business decisions What to expect at nexton Projects at nexton rely on the intersection of data and technology to create measurable business results. The team values teamwork and practical approaches that deliver real impact.

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.

Join our dynamic team at iliad-free in Paris as a Machine Learning Engineer Intern. This is an exciting opportunity for students or recent graduates to gain hands-on experience in the world of machine learning and large language models (LLM).As an intern, you will work closely with our talented engineers to develop innovative solutions that leverage advanced machine learning techniques. You will have the chance to contribute to real projects and enhance your skills in a collaborative environment.

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.

Eurofins Scientific is seeking an AI Engineer & Data Scientist intern to join the team in Paris. This internship offers the chance to contribute to projects that use artificial intelligence and data science to address challenges across multiple sectors. What you will do Work alongside experienced professionals on real-world assignments Participate in data collection and preparation Support the development of machine learning models Help implement analytical solutions for ongoing projects Learning opportunities Gain hands-on experience in data analysis and AI applications Collaborate with a multidisciplinary team Develop practical skills in model development and deployment This role is based in Paris and focuses on practical work in artificial intelligence and data science within a collaborative environment.

RTE is looking for a Data/AI Engineer Intern (F/H) to join the team in Paris, La Défense. This position supports projects in the energy sector, with a focus on using data analytics and artificial intelligence. Role overview This internship centers on applying data-driven methods and AI tools to help improve how energy is managed and how operations run. The work contributes directly to making energy systems more efficient. Location The role is based at RTE’s offices in Paris, La Défense.

About the Role meilleurtaux is looking for a Machine Learning Operations Engineer to join the team in Paris. This role focuses on improving how machine learning models support business operations. What You Will Do Work closely with teams across the company to put machine learning models into production Ensure smooth integration of these models into daily business workflows Apply machine learning knowledge to strengthen operational processes Location This position is based in Paris.

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 Avisia, we engage with our clients on data-driven projects that seamlessly blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues.Our clientele spans a wide array of industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data science missions you might be involved in are equally diverse.Here are a few current project examples: Designing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine aimed at optimizing visitor conversion rates on a website. #RecommendationDeveloping an attrition score to identify slowly declining customers for a major retailer. #ChurnImplementing customer segmentation to enhance marketing and sales strategies based on channel preferences. #CustomerSegmentation