Emplois à distance

Vous intégrez une structure dynamique et à taille humaine, dans un environnement convivial. Une bonne ambiance de travail pour vous permettre de vous épanouir ! Notre client, pourra vous offrir une certaine souplesse : un confort de travail avec des horaires modulables et du télétravail après une formation sur les outils du cabinet. Vous aurez en charge les missions suivantes : - Prise en charge d'un portefeuille clients TPE-PME variés - Révision des comptes - Déclarations fiscales - Établissem…

DURING S.P.A. During filiale di Lecco, ricerca TECNICO SERVICE per azienda di Valmadrera.Di cosa ti occuperai:collaborerai all'interno di un ufficio con altre persone e ti dovrai occupare di dare supporto operativo ai colleghi durante gli interventi presso i clienti ed occuparti del post-vendita e contatto con i vari clienti. Il lavoro verrà svolto tutto su computer da remoto, non sono previste trasferte. ORARI DI LAVORO: 8.00-17.00 con 1 ora di pausa mensa aziendaleCCNL applicato: metalmeccani…

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries. Our 1,300 global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their…

Du hast Freude daran, Facebook- und Instagram-Werbeanzeigen anzulegen und zu kontrollieren, und suchst eine Aufgabe für rund 25 bis 30 Stunden pro Woche, die du zu 100% aus dem Homeoffice erledigen kannst? Wir helfen Unternehmen dabei, durch digitales Recruiting die besten Mitarbeiter zu finden. Dafür läuft bei uns ein eingespielter Prozess: Wir wissen, welche Werbeanzeigen funktionieren, wie die Texte aufgebaut sind und wie eine Kampagne aussehen muss und welche Handgriffe es in Meta für eine …

Du möchtest Recruiting-Kampagnen in Meta nach einem klaren System betreuen und suchst eine Aufgabe für rund 25 bis 30 Stunden pro Woche, die du zu 100% aus dem Homeoffice erledigen kannst? Wir helfen Unternehmen dabei, durch digitales Recruiting die besten Mitarbeiter zu finden. Dafür läuft bei uns ein eingespielter Prozess: Wir wissen, welche Werbeanzeigen funktionieren, wie die Texte aufgebaut sind und wie eine Kampagne aussehen muss und welche Handgriffe es in Meta für eine erfolgreiche Kamp…

Du bist auf Facebook und Instagram zu Hause, arbeitest gerne sorgfältig und verlässlich und suchst eine Aufgabe für rund 25 bis 30 Stunden pro Woche, die du zu 100% aus dem Homeoffice erledigen kannst? Wir helfen Unternehmen dabei, durch digitales Recruiting die besten Mitarbeiter zu finden. Dafür läuft bei uns ein eingespielter Prozess: Wir wissen, welche Werbeanzeigen funktionieren, wie die Texte aufgebaut sind und wie eine Kampagne aussehen muss und welche Handgriffe es in Meta für eine erfo…

Du arbeitest gerne sorgfältig, verlässlich und suchst eine Aufgabe für rund 25 bis 30 Stunden pro Woche, die du zu 100% aus dem Homeoffice erledigen kannst? Wir helfen Unternehmen dabei, durch digitales Recruiting die besten Mitarbeiter zu finden. Dafür läuft bei uns ein eingespielter Prozess: Wir wissen, welche Werbeanzeigen funktionieren, wie die Texte aufgebaut sind und wie eine Kampagne aussehen muss und welche Handgriffe es in Meta für eine erfolgreiche Kampagne braucht. Genau diesen Proze…

Du kennst dich im Meta Ads Manager aus, arbeitest gerne sorgfältig und verlässlich und suchst eine Aufgabe für rund 25 bis 30 Stunden pro Woche, die du zu 100% aus dem Homeoffice erledigen kannst? Wir helfen Unternehmen dabei, durch digitales Recruiting die besten Mitarbeiter zu finden. Dafür läuft bei uns ein eingespielter Prozess: Wir wissen, welche Werbeanzeigen funktionieren, wie die Texte aufgebaut sind und wie eine Kampagne aussehen muss und welche Handgriffe es in Meta für eine erfolgrei…

COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. THE OPPORTUNITY Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. THE ROLE As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems: • Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio. • Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech. • Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”. • Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. • Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations. THE CHALLENGE We are seeking researchers who: • See "unsolved" problems as opportunities to pioneer entirely new approaches • Can identify the one critical experiment that will validate or kill an idea in days, not months • Have the vision to scale successful proofs-of-concept 100x • Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the …

What are you working on? Genres: Hyper-casual, Casual Platforms: Mobile, Android, iOS Original Games is a remote mobile game studio developing casual games. We work on live products alongside new game concepts, with a focus on product performance and sustainable growth. As our Head of UA, you will work directly with the co-founders and own acquisition strategy, budgets and campaign execution across our portfolio. Our team gives you the opportunity to stay hands-on while leading one UA Manager …

The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500 builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working …

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: • Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines • Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations • Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: • 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) • Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments • Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices • Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing • Experience designing high-availability and disaster recovery solutions • Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) • Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: • 1+ years of experience building production AI/ML applications or agents • Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications • Experience with state management patterns (short-term and long-term memory) • Experience designing and implementing evaluation frameworks for AI applications • Strong prompt engineering skills with experience in optimization and A/B testing • Experience with vector stores, RAG patterns, and knowledge organization • Experience with tool integration, API design, and error handling patterns • Strong Python and/or TypeScript development skills Customer-Facing: • Customer-facing experience with enterprise customers • Experience conducting technical assessments or infrastructure audits • Strong communication skills with ability …