E-Learning Specialist

Scaleway is hiring an E-Learning Specialist in Paris to create and deliver online educational experiences for its users. The main focus of this position is to design, develop, and launch digital courses that help learners gain and retain knowledge effectively. Key responsibilities Design and build engaging online courses tailored to Scaleway’s user community Create educational materials that align with specific learning objectives Collaborate with teams across the company to ensure content meets quality standards and supports business needs Collaboration This role involves working closely with colleagues from various departments. The goal is to maintain high standards for educational content and ensure that courses contribute to Scaleway’s broader objectives.

alan seeks a Sales Learning & Development Specialist to help the sales team grow and perform at their best. This position can be based in Paris, Madrid, Barcelona, or Bruxelles. Main responsibilities Design and deliver training programs that align with sales strategies and business objectives Collaborate with other departments to identify specific learning needs Create clear and engaging training materials tailored for sales professionals Lead training sessions to strengthen the team's skills and support target achievement Role impact This role plays a key part in building the skills and confidence of the sales team, directly supporting their success and helping drive revenue growth for alan.

Join Egis Group as a Digital Learning Project Manager (H/F) and play a crucial role in designing and implementing innovative digital learning solutions. You will collaborate with cross-functional teams to enhance learning experiences across the organization.Your responsibilities will include managing project timelines, coordinating with stakeholders, and ensuring that all digital content meets the highest standards of quality. This is a fantastic opportunity for someone passionate about digital education and eager to make a significant impact.

TLDR: We are seeking a skilled Machine Learning Engineer / MLOps Specialist to take ownership of our inference stack, optimizing serving engines and developing vector search pipelines. Your role will involve bridging the gap between Research and Product to deliver models that are efficient, cost-effective, and ready for production.About UsWhite Circle is an AI Safety company dedicated to enhancing the safety, reliability, and optimization of AI systems. Our platform is centered around defining straightforward, natural-language policies that dictate the appropriate and inappropriate behaviors of AI models. We continually test, enforce, and enhance these policies at scale to ensure optimal performance.We have successfully raised $11M from leading investors, founders, and executives from prominent organizations, including OpenAI, Anthropic, Hugging Face, Mistral, DeepMind, Datadog, and Sentry.Our infrastructure handles over 100 million API calls each month.We specialize in fine-tuning and training our own large language models (LLMs) to operate faster and more economically than any competing open or proprietary models.Your ResponsibilitiesOversee the end-to-end inference infrastructure: enhance latency, throughput, and cost efficiency across our model fleet.Develop and scale model serving solutions using TensorZero, vLLM/SGlang/TRT, and Kubernetes.Design and maintain vector search pipelines utilizing vector storage technologies.Demonstrate familiarity with support metrics (SLAs, FCR, deflection) and define service health KPIs.Transform research outcomes into practical applications: collaborate with the research team, assess production readiness, and manage deployment processes including formatting and sampling parameters.Your QualificationsA minimum of 3 years of experience in deploying high-performance ML systems in production, beyond just training notebooks.In-depth experience with inference optimization, including troubleshooting latency issues and understanding the differences between theoretical and actual throughput.Proficient across the tech stack: from CUDA kernels to Kubernetes manifests and Grafana dashboards.Preferred Qualifications: Experience with Rust, custom Triton kernels, and performance benchmarking.Why Join White Circle?Competitive salary ranging from $100,000 to $150,000 plus equity options.20 days of paid vacation annually.Opportunity to work from Paris with a hybrid work model, including a relocation package.Access to top-tier medical insurance in France.

SMCP is seeking an E-Commerce & E-Merchandising Stage Assistant for an internship based in Paris. This position provides hands-on exposure to the daily workings of online retail, with an emphasis on increasing product visibility and improving the digital customer experience. Key responsibilities Support product uploads to the e-commerce platform Assist with managing and updating online inventory Review sales data to inform merchandising choices Collaborate with other teams to help ensure a seamless shopping journey Skills and knowledge gained Introduction to digital marketing concepts Understanding of e-commerce analytics basics Fundamental online merchandising techniques

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 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.

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.

Are you seeking to join an innovative team that embraces a continuous Test & Learn approach and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to navigate—whether it be vertical, horizontal, or cross-functional. Your PlaygroundTechnology Stack: Google Cloud Platform (including VertexAI, VertexAI Search, Cloud Run, Cloud Storage), Python, and ML libraries, along with RAG architecture.SFEIR AI: A dedicated program to master generative AI and agent-based coding.Community: Join a vibrant network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your MissionsDesign and develop robust and scalable ML/AI solutions on GCP.Implement RAG architectures using Vertex AI Search and orchestrate Large Language Models (LLMs).Develop strategies for Prompt Engineering and model optimization.Establish pipelines for model evaluation and monitoring.Contribute to the AI transformation of our clients with innovative solutions. Your ProfileYou have a minimum of 5 years of experience in Data Science / Machine Learning.You possess proven professional experience with Google Cloud.You are passionate about your field: you engage in continuous learning and have personal projects. Why Join SFEIR?Every Sfeirian is paired with an Engineering Manager for support.Opportunities for growth into roles such as Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager.Ongoing training access via Google Cloud Skills Boost and certifications.Participation in Google Cloud events.Be part of an active community with over 50 annual events. Your Sfeirian PackageChoice of equipment: MacBook Pro or Dell Precision.

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.

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.

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.

Paris | Full-time | Fluent in French & English In the rapidly evolving e-commerce landscape, independent brands face challenges in achieving the streamlined logistics that industry giants like Amazon offer. At Bigblue, we are dedicated to transforming this reality.Our mission is to empower brands by democratizing top-tier operational capabilities, enabling them to scale efficiently while providing an exceptional customer experience.Since our inception in 2018, we have developed a technology-driven logistics platform that supports over 500 brands, from emerging DTC companies to internationally recognized names such as MUJI, Aigle, and Cabaïa. With a team of over 110 employees across Paris, Madrid, and London, our proprietary Warehouse Management System (WMS) Atlas and a network of 7 warehouses throughout Europe allow us to tackle logistics challenges with innovation — making fulfillment processes faster, smarter, and more sustainable.Supported by over $20 million in funding and trusted by the next wave of e-commerce innovators, we are on an ambitious trajectory — aiming for 10 million orders in 2024 as we expand into new enterprises. We are seeking the right partner to join us in leading this exciting journey.About the Product TeamYou will become part of the team that drives Bigblue's growth, with a tripartite mission:1- Simplify complexities and connect teams to facilitate rapid scaling.2- Maintain close collaboration with merchants and warehouse operators to identify issues and opportunities proactively.3- Ensure that every product release enhances the user experience, making it smoother and more reliable.In this role, you will work closely with seasoned product managers and engineers from esteemed backgrounds (Apple, Vimeo, Frichti, Kapten, Alan, etc.), gaining firsthand experience in product development, honing your technical skills, and playing a pivotal role in shaping the future of Bigblue.

Eric Bompard is seeking an Assistant E-commerce intern to join the team in Paris. This internship centers on supporting online retail activities and contributing to the company’s digital growth. Role overview The Assistant E-commerce intern will work closely with the digital team to help develop and implement strategies that support sales and improve the customer journey. The role involves hands-on tasks that influence how products are presented and how customers interact with the brand online. What you will do Assist with optimizing product listings to ensure accuracy and appeal Analyze consumer behavior to inform ongoing improvements Support marketing efforts that strengthen the company’s online presence Collaborate with different departments to deliver a seamless customer experience 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.

Join Sezane as a Junior E-Store Manager Intern (H/F) and immerse yourself in the dynamic world of e-commerce. As a vital part of our team, you will assist in managing our online store and contribute to enhancing the user experience. This is an exciting opportunity for those passionate about digital retail and looking to kick-start their career in a thriving environment.

E-commerce is thriving, yet independent brands often find it challenging to compete with the streamlined logistics offered by industry giants like Amazon. At Bigblue, we are committed to transforming this landscape.Our mission is to empower brands by providing access to top-tier operational capabilities, enabling them to scale rapidly while ensuring an exceptional customer experience.Since our inception in 2018, we have developed a technology-driven logistics platform that supports over 500 brands—from rapidly growing direct-to-consumer companies to renowned global names such as MUJI, Aigle, and Cabaïa. With a team of over 110 employees located in Paris, Madrid, and London, our proprietary Warehouse Management System (WMS) Atlas and a network of 7 warehouses across Europe are set to tackle logistics challenges that others shy away from, making fulfillment faster, smarter, and more sustainable.Supported by over $20 million in funding and trusted by the next wave of e-commerce pioneers, we are rapidly scaling—anticipating 10 million orders in 2024 as we aim for ambitious enterprise growth. The path forward is bold, and we’re seeking the right partner to help us navigate it.About the Role As Bigblue broadens its scope beyond its traditional B2C focus, we are making substantial investments in B2B, dedicating resources and technological advancements to foster our clients’ growth.We are now in search of a B2B Operations Specialist to ensure a seamless, end-to-end experience for our merchants.In this crucial role, you will master Bigblue’s B2B operations, support daily workflows, and optimize processes to enhance our service. As a vital member of the Operations team, you will play an essential part in delivering a seamless, premium B2B experience—not only for our merchants but for their customers as well.

Sézane, a French fashion brand born online, continues to shape its story through thoughtful choices, creativity, and a focus on quality. Over two decades, the company has built a reputation for doing things differently and putting people first. The E-Commerce team in Paris is seeking an E-Merchandising Assistant Manager Intern (H/F) for a 6-month internship starting September 2026. This role reports to the E-Merchandising Manager and centers on preparing collection launches and optimizing the online shopping experience to drive performance. What You Will Do Build online merchandising for ready-to-wear and accessories categories for each launch, ensuring strong visibility and meeting performance targets. Optimize E-Shop merchandising daily, balancing visual appeal with commercial goals to maximize product turnover. Analyze product performance and recommend concrete actions to achieve objectives and inform future collections. Create editorial content aligned with the commercial strategy and calendar. Configure navigation across the website, mobile, and app to ensure a seamless customer journey. Monitor and support SEO initiatives. Assist with launching new sites (languages and currencies) in collaboration with Business Development teams. Conduct competitive analysis to inform strategy. Key Projects Propose new page types to improve the customer journey and strengthen brand presence. Support the rollout of new Back Office tools. Work on ongoing improvements to user experience and site navigation. Who We’re Looking For Sézane values creativity, structure, and adaptability. The team welcomes individuals who seek continuous improvement, value autonomy, and respect collaboration. If striving for ambitious goals motivates you, this internship offers a place to grow and contribute. The position is based in Paris (75).

The Junior E-store Manager Internship at SMCP offers hands-on experience in digital commerce. This full-time role, starting September 2026 in Paris, centers on supporting the day-to-day operations of the company’s online store. What you will do Assist with managing the e-store’s product listings, promotions, and updates Contribute to marketing initiatives aimed at driving online sales Help improve customer engagement through various digital channels Internship details Location: Paris Start date: September 2026 Full-time internship This position provides exposure to e-commerce operations and the chance to collaborate with experienced professionals in the field.

E-commerce is thriving, yet independent brands often find it challenging to replicate the seamless logistics of industry leaders like Amazon. At Bigblue, we are dedicated to transforming this landscape.Our mission is to empower brands by democratizing top-tier operations, enabling them to scale rapidly while providing a stellar customer experience.Since our inception in 2018, we have developed a tech-driven logistics platform that supports over 500 brands - from emerging DTC brands to renowned names such as MUJI, Aigle, and Cabaïa. With a team of 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas and a network of 7 warehouses across Europe ensure we tackle logistics challenges that others shy away from, making fulfillment faster, smarter, and more eco-friendly.With over $20 million in funding and the trust of the next generation of e-commerce leaders, we are on a rapid growth trajectory, aiming for 10 million orders in 2024 as we pursue ambitious enterprise expansion. The road ahead is bold, and we seek a capable partner to help us navigate this journey.Role OverviewIn the capacity of an Operations Excellence Specialist at Bigblue, you will be integral to ensuring our fulfillment operations run with enhanced speed, efficiency, and consistency, laying the foundation for scalable growth.Your responsibilities will include driving continuous improvement initiatives, standardizing best practices across our partner warehouses, and contributing to pivotal mid-term projects that allow us to manage increased volume at reduced costs, collaborating closely with our Product & Tech teams to refine our in-house WMS.This position is hands-on and impactful, reporting to the Head of Operations Excellence and working closely with Operations, Product, Finance, and Data teams.Key Responsibilities Drive Operational Enhancements- Implement Operations Excellence initiatives across our EU warehouse network, focusing on effective execution and follow-through- Develop, test, and deploy standard operating procedures (SOPs) to boost productivity, accuracy, and cost-effectiveness- Contribute to the development of tools, processes, and routines that facilitate scalable and dependable operations- Collaborate with site teams to understand operational challenges and translate them into actionable improvements- Aid in the collection and analysis of data to identify opportunities for enhancement Implement Improvement Projects- Assist in cross-functional improvement projects (layout optimization, process redesign, digitalization, tooling implementation)- Manage small to medium-sized projects with guidance...