Internship - Deep Learning Scientist (H/F)

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.

About Safran.AI Safran.AI (formerly Preligens) is a subsidiary of Safran Electronics & Defense. The team develops artificial intelligence solutions for analyzing high-resolution satellite images, full motion video streams, and acoustic signals. These technologies support aerospace, defense, and government sectors. Since 2016, Safran.AI has built advanced algorithms and software to automatically analyze, detect, and identify objects of military relevance, drawing from both commercial and governmental data sources. In September 2024, the company joined the Safran group and now also supports Industry 4.0 transformation. For example, automated image analysis helps inspectors spot potential anomalies in critical components using digital imagery. Innovation and safety drive Safran.AI’s mission. Teams include engineers, researchers, and developers who value creativity and initiative. Every idea counts, and the environment encourages collaboration and technical excellence. Role Overview: Senior Deep Learning Scientist (H/F) – Paris This position sits within the AI Production department, which designs, develops, and maintains AI products and solutions deployed for clients. The department includes six teams (about 50 people, mostly deep learning scientists). Each team focuses on a specific application area, such as: Algorithms for automating industrial production controls using computer vision (radiographic images, ultrasound, videos, tomography, optical imaging, and more) Acoustic signal processing Detection and classification of military-interest objects in optical satellite imagery or SAR Real-time object detection of military-interest objects in video streams Within your team, you will contribute to one or several projects, working alongside peers who share a commitment to technical rigor and innovation.

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.

Our Mission:At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.Current project examples include:Developing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine to enhance website visitor conversion rates. #RecommendationEstablishing an attrition score to identify slowly declining customers for a large retail chain. #ChurnImplementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation

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.

Nexton seeks an Applied Scientist (H/F) to join the team in Paris. The position centers on applying scientific methods and advanced analytics to solve complex challenges and enhance products. Key responsibilities Collaborate with colleagues from various fields to address business objectives Use data science and machine learning techniques to develop models and algorithms Examine large and intricate data sets to inform important decisions Present insights that influence strategy and improve company processes Location This role is based in Paris.

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

Join Talan as a Data Scientist and take the next step in your career! We are looking for a passionate individual who loves to extract insights from data and is eager to tackle complex challenges. In this role, you will collaborate with cross-functional teams to develop innovative data-driven solutions that impact our business strategies. If you are enthusiastic about utilizing machine learning and statistical analysis to drive business decisions, we want to hear from you!

At Shift Technology, we are at the forefront of transforming the insurance landscape with our leading AI platform, which harmoniously integrates generative, agentic, and predictive AI. Our solutions enhance underwriting, claims handling, and fraud detection, significantly improving operational efficiency and delivering exceptional customer experiences. Our technology is trusted by some of the world's top insurers, empowering them to harness AI effectively and at scale.Our company culture thrives on innovation, trust, and a passion for reshaping the insurance industry through our advanced SaaS platform. With a diverse team from over 50 countries, we are collaboratively crafting the future of insurance. The Data Science Team:The Data Science team tackles a wide range of innovative projects. We play a crucial role in defining and developing our product offerings in areas like fraud detection, anti-money laundering, and claims automation. Our team boasts a robust mix of technical expertise in data science, data engineering, coding, and business acumen, alongside strong client engagement abilities. We work with various data types, including structured data, free text, documents, and images.Your Key Responsibilities Include‍:Establishing and deploying data processing pipelines, including data reception (batch or real-time), data cleansing, information extraction, and calibration of fraud detection models.Collaborating with clients to capture their requirements and integrating their feedback to enhance our solutions.Conducting research and development to foster product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).Assisting the sales team by participating in client demonstrations.Collaborating on the entire Data Science product lifecycle, understanding the connections between sales, legal, product, and engineering to deliver AI solutions to clients.

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.

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.

Genbio, with headquarters in Silicon Valley and offices in Paris and Abu Dhabi, brings together scientists, engineers, and entrepreneurs to advance biology and medicine using generative AI. The company’s main focus is on pan-modal Large Biological Models (LBM), which support new developments in healthcare and biomedicine. Role overview This Research Scientist Internship in Paris offers direct experience working with Genbio’s R&D team. Interns join ongoing projects that use large language models and generative AI to decode biological processes and develop practical solutions for healthcare. The team has a strong background in both AI and biological science. What you will do Work in Paris as part of a global team focused on biomedicine Contribute to research on Large Biological Models and generative AI Collaborate with experienced professionals in AI and biological science Who Genbio is looking for Genbio welcomes interns who are eager to support progress in biology and medicine. The company continues to grow and seeks those ready to contribute to its mission of advancing biomedicine through AI-driven research.

About Mistral AIMistral AI is at the forefront of artificial intelligence, committed to transforming the way we work and learn. Our innovative technology is crafted to effortlessly integrate into daily routines, streamlining tasks and fostering creativity.We aim to democratize AI by providing high-performance, optimized, open-source models and solutions. Our robust AI platform caters to enterprise requirements, whether deployed on-premises or in the cloud. Among our offerings is le Chat, an AI assistant designed to enhance both personal and professional life.As a vibrant and collaborative team, we are united by our passion for AI and its potential to revolutionize society. Our diverse workforce thrives in dynamic environments and is dedicated to pioneering innovation. With teams spread across France, the USA, the UK, Germany, and Singapore, we embrace creativity, humility, and a spirit of collaboration.Join us in shaping the future of AI and making a meaningful impact. Discover more about our culture at https://mistral.ai/careers.Role OverviewMistral AI is on the lookout for enthusiastic Applied Scientist and Research Engineer Interns to spearhead innovative research and collaborate with clients on intricate projects. You will be instrumental in developing state-of-the-art models across various modalities, including text, image, and speech. By pioneering new methodologies, you will apply these models to a wide array of use cases and domains. In this role, you will work cross-functionally with internal and external teams to deliver impactful AI solutions that drive progress.This internship is available at our offices in Paris and London.Key Responsibilities• Execute pre-training, post-training, and deployment of state-of-the-art models on clusters equipped with thousands of GPUs, maintaining composure in the face of technical challenges.• Generate and curate data for training and evaluation, ensuring that model performance exceeds expectations.• Develop 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 manage communications with client research teams.Your Profile• You possess fluent English communication skills and are adept at articulating intricate technical concepts to both technical and non-technical audiences.

Join Roland Berger as a Data Scientist Intern and contribute to innovative projects that shape the future of business strategy. This internship offers a unique opportunity to apply your analytical skills in a dynamic environment, working alongside experienced professionals in the industry.

Join Labelium as a Data Analyst/Scientist Consultant intern, where you will dive into data analysis and contribute to innovative projects. You will collaborate with our talented team, gaining hands-on experience in data-driven decision-making and analytics strategies. This internship offers a unique opportunity to enhance your skills and make a significant impact in a dynamic work environment.

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.

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...

Position OverviewReporting to the Sales Department and the Retail Excellence Manager, you will play a key role in enhancing the skills of retail teams across Europe. As a vital part of our training strategy, you will be responsible for developing engaging e-learning content and implementing training tools. Key ResponsibilitiesContent Creation & ManagementCreate and produce e-learning modules covering topics such as products, materials, fashion culture, and sales techniques.Coordinate filming sessions (briefings, organization, follow-up with service providers and internal teams).Ensure the quality, consistency, and attractiveness of the content distributed on the platform. Deployment & User EngagementSupport retail teams in mastering the e-learning platform.Encourage user engagement.Contribute to the continuous improvement of digital training tools. Performance Tracking & Continuous ImprovementConduct regular reporting for internal teams.Monitor KPIs.Analyze results and provide optimization recommendations. Training Project SupportAssist the Training Manager with cross-functional projects (headquarters & retail).Participate in onboarding sessions and Retail Lab activities (sales staff, store managers).Act as a contact point for retail teams regarding training topics.