GRÜEZI MITENAND

Multimodal AI Systems: Chief Scientist/ Principal Technical Leader We are seeking a senior leader to define and deliver the architecture and research direction for large-scale multimodal AI systems. This role combines scientific leadership with hands-on system ownership, spanning model innovation, training, inference, and production deployment. You will lead the design of multimodal architectures across LLMs, VLMs, video models, and multimodal agents, while driving cutting-edge research in multimodal understanding and generation. The role owns the full lifecycle from novel algorithms and publications to scalable, optimized systems (autotuning, quantization, inference efficiency). RequirementsDeep expertise in multimodal learning with hands-on experience training large-scale vision-language, video, or multimodal models.Strong understanding of transformers, diffusion models, and large multimodal model inference.Proven research impact (top-tier conferences preferred) and/or significant open-source contributions.Ability to translate frontier research into production-grade AI systems.

Machine Learning EngineerLocation: Zurich / RemoteLanguage: German/Swiss German Preferred (English Fluent/Professional) This is a priority search for a small investment group building an internal AI Lab across companies they actively own.The company operates across retail and FMCG supply chains. Their portfolio supports large offline and online retailers, with heavy operational workflows across trading, pricing, ERP, and CRM. Today a lot of value is lost to manual processes and fragmented systems.This hire will be the first dedicated technical builder in the AI Lab. The focus is hands on delivery, not research.The expectation is to design, build, and ship AI driven systems that improve trader productivity, reduce operational friction, and surface revenue opportunities. This includes agent based workflows, internal tools, and hands on AI and ML implementation.You would work closely with founders and operators, move quickly, and have real autonomy. There is also exposure to reviewing the technical architecture of new investments and shaping build decisions early.Small, elite team distributed across Europe. High responsibility and clear ownership from day one. Real upside tied to equity backed projects.Ideally Switzerland based. German or Swiss German is a strong plus, English is also required.If you enjoy building in ambiguous environments and want your work in production immediately, feel free to send your CV.

AI Solution Architect – GenAI & Azure AI (Contract, Remote) We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production. The role: You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services. What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial 3-month contract, guaranteed extension to 6 months (with strong potential to extend further)Fully remote€400–€425 per day

Senior SLAM Engineer Location: Zurich Type: Full-time, On-site Company Overview Our client is an early-stage robotics company developing autonomy and intelligent assistance systems for large-scale mobile machinery. By combining learning-based automation with advanced remote operation, thier technology enables a single operator to safely supervise and control multiple machines in complex, real-world environments. The team brings deep academic and industrial expertise in large-scale robotics and perception, and is focused on transitioning state-of-the-art research into production systems deployed on real machines operating in demanding conditions. Role Overview This role sits at the intersection of perception, state estimation, and real-world deployment. You will contribute to the design, implementation, and deployment of advanced localization and mapping solutions for autonomous and semi-autonomous heavy machines. The systems you work on integrate multiple sensing modalities—spanning lidar, vision, inertial sensing, and satellite positioning—into a hardware-agnostic autonomy stack that can be adapted to a wide range of machine types and vintages. The role requires not only strong algorithmic expertise, but also a focus on production-quality software and system robustness. Key ResponsibilitiesDesign, prototype, and deploy real-time localization, mapping, state estimation, and calibration algorithms for large autonomous mobile platformsDevelop SLAM pipelines leveraging lidar, inertial, visual, and GNSS data sourcesOptimize system performance, robustness, and reliability under real-world operating conditionsDefine and maintain testing procedures, validation strategies, and performance metricsCollaborate closely with engineers across perception, controls, systems, and hardware to improve end-to-end autonomy performanceEnsure high-quality, maintainable implementations suitable for deployment on production systemsRequired QualificationsMaster’s or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field3 years of hands-on experience developing and deploying localization and mapping systemsStrong experience implementing SLAM and state estimation algorithms using lidar-inertial-visual sensor fusionProficiency in C and Python, with a focus on production-grade software developmentExperience working in Linux-based development environmentsAbility to manage technical risk, re-prioritize work, and meet deadlines in a fast-paced engineering environmentStrong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiencesNice to HaveExperience integrating RADAR and/or GPS/GNSS into localization or SLAM systemsFamiliarity with ROS2 and modern robotics middleware