Search Engine Optimization (SEO) Specialist

airapps seeks a Search Engine Optimization (SEO) Specialist to join the team in Zurich. The main goal in this role is to increase the company's online visibility and drive organic traffic using established SEO methods. Key responsibilities Work closely with the marketing team to apply SEO best practices across various content and marketing campaigns Track an…

Visium is looking for a Junior Machine Learning Engineer Intern to join the team in Zürich. This internship offers hands-on experience with artificial intelligence and machine learning projects, working closely with experienced engineers. Role overview As a Junior Machine Learning Engineer Intern, you will contribute to building and refining machine learning models. The work includes supporting the development, testing, and deployment of models that support different projects within the company. What you will do Assist in designing and developing machine learning models Support testing and validation of model performance Help deploy models to production environments Work with team members to solve real-world problems using data-driven approaches Team and environment This role involves close collaboration with experienced professionals in a supportive and learning-focused setting. Interns are encouraged to ask questions and contribute ideas as part of the team’s ongoing projects.

Title: Senior Machine Learning Engineer / Data ScientistType: Full-timeLocation: ZürichAbout UsAt Visium, we empower enterprise leaders to define their AI and data strategies, execute large-scale transformations, and implement AI across operations to ensure their organizations are future-ready. With deep expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we enable our clients to harness and scale their data effectively.Our mission is to forge a brighter future by building ethical, future-proof organizations. Join our community of innovators, dreamers, and doers who strive to create a world we can all be proud of – our Visiumees.Are you ready to join us?Role OverviewAs a key member of our expanding team, you will contribute to our growth in Switzerland and beyond. In your role as a Senior Machine Learning Engineer, you'll engage in diverse applied research projects utilizing cutting-edge machine learning techniques and assist in deploying solutions that enhance customer experiences and adoption. Your passion for understanding the business context behind features will be essential, and your meticulous organization will enable you to thrive in our fast-paced, dynamic team environment.

At Skydio, recognized as the premier US drone manufacturer and a global pioneer in autonomous flight technology, we are dedicated to revolutionizing the future of drones and aerial mobility. Our innovative team brings together profound expertise in artificial intelligence, state-of-the-art hardware and software product development, operational excellence, and an unwavering commitment to our customers. We aim to empower a diverse range of drone users, from utility inspectors and first responders to soldiers in challenging environments and beyond.About the Role:The essence of our autonomy system lies in learning a semantic and geometric understanding of the world through visual data. We are at the forefront of advancing real-time deep networks to accelerate the development of intelligent mobile robots. If you are passionate about tackling complex challenges in object detection, tracking, motion prediction, flow estimation, and comprehensive scene understanding using vast amounts of structured video data, we eagerly invite you to join our team.Your Impact:Design and implement cutting-edge deep learning solutions that address detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones.Utilize advanced techniques in unsupervised learning, few-shot learning, and foundational models to enhance data-efficient machine learning.Curate and enhance synthetic datasets that fuel our deep learning algorithms alongside extensive structured video data.Refine and optimize models for low-latency performance on embedded hardware.Characterize and evaluate the performance of our vision systems.Research and prototype innovative methodologies.Act as a generalist, contributing across various aspects of the software when necessary.Ideal Candidate:Proven hands-on experience in developing and deploying deep learning models.Experience in curating both synthetic and real-world image datasets.Solid foundation in software engineering with a commitment to writing clean, well-structured code (preferably in Python and C++).Demonstrated ability to prototype, train, optimize, and deploy deep neural networks.Strong ability to comprehend and contextualize scientific papers and literature in computer vision.Thrives in a fast-paced, collaborative, small team environment.

Skydio stands at the forefront of the drone industry, recognized as the premier US drone company and global leader in autonomous flight technology, which is vital for the future of aerial mobility. Our team is comprised of experts in artificial intelligence, innovative hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to military personnel on the battlefield and beyond.About the Role:We invite applications for a seasoned software engineer to spearhead the creation of tools that enhance each phase of the autonomy lifecycle. You will play a pivotal role in developing and refining essential internal platforms that enable engineers to explore new concepts, analyze system behaviors, and comprehend intricate interactions between software and the physical environment.This position merges backend systems development with frontend visualization, necessitating a robust understanding of software design, developer experience, and a genuine passion for empowering colleagues through effective tooling. The systems you create will be utilized daily by autonomy developers, test engineers, and various other stakeholders within the organization.

About the RoleOn Running AG is seeking a dynamic Engineering Manager to join our Integrated Planning Platform team at our headquarters in Zurich. This pivotal role calls for a leader who merges extensive knowledge in Supply Chain Planning with robust software engineering capabilities. You will spearhead intricate projects that deliver cutting-edge planning system solutions, forming the critical infrastructure of our worldwide supply chain.Your contributions will directly influence various teams across different functions and regions, ensuring our products efficiently reach customers. In our fast-paced environment, you will utilize your in-depth familiarity with S&OP processes and demand-supply forecasting to build a resilient, top-tier integrated planning ecosystem. You will engage with diverse business and technical stakeholders, foresee potential challenges, and adeptly balance essential technical and strategic decisions.Your ResponsibilitiesLead & Empower Teams: Motivate and develop engineering teams dedicated to the Integrated Planning Platform. Ensure clarity of purpose aligned with On's global supply chain objectives, foster a collaborative culture, and manage the team while granting them the autonomy to innovate.Supply Chain & Platform Delivery: Take full responsibility for your teams’ deliverables, timelines, quality, and recruitment. Manage risks, anticipate obstacles, and navigate uncertainties for complex projects.Technical & Architectural Leadership: Oversee your team's technical choices and solutions, contributing significantly to ensure alignment with On's architectural vision. Guide the architecture to manage complex supply chain data flows and integrate enterprise systems (e.g., ERP) while handling high-volume planning cycles.Strategic Partnership: Collaborate closely with E2E Planning business leaders, product managers, and project managers to define deliverables. Translate intricate supply chain requirements into scalable technical initiatives, establish delivery scopes, and ensure alignment on cross-team dependencies.Operational Excellence: Guarantee the dependable functioning of your team’s planning systems in accordance with defined SLOs. Prioritize urgent incident resolution that could disrupt critical planning and purchasing processes, and facilitate iterative rollout, testing, and release engineering practices.Company Culture: Join a vibrant and innovative team committed to excellence in supply chain management while embracing a culture of collaboration, creativity, and continuous improvement.

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence framework that will drive the next generation of humanoid robots. Our overarching mission is to expedite the transformation from delicate prototypes to their practical application in real-world scenarios. Founded by preeminent scientists specializing in robot reinforcement learning, with backgrounds from Nvidia and ETH Zürich, we are supported by top-tier international venture capital firms. In just a few months, we've transitioned from our initial line of code to the deployment of tangible humanoid capabilities alongside our partners.The Role:We are seeking a highly skilled expert in whole-body motion generation and/or vision-conditioned generative models to enhance our team in Zurich. Drawing inspiration from the recent advancements in neural avatars and computer graphics, we strive to implement similar methodologies to generate comprehensive body movements for our humanoid robots. The primary objective of this role is to innovate and implement cutting-edge multimodal generative models for robot trajectory generation.

At Skydio, the premier drone company in the US and a global leader in autonomous flight technology, we are shaping the future of drones and aerial mobility. Our team is composed of experts in artificial intelligence, innovative hardware and software development, operational excellence, and a strong commitment to customer satisfaction. We aim to broaden the accessibility of drone technology to a diverse range of users including utility inspectors, first responders, and military personnel.About the Position:The essence of our autonomy system lies in its ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of developing real-time deep learning networks to advance intelligent mobile robotics. If you are passionate about utilizing vast structured video datasets to tackle challenges in Computer Vision (CV), such as object detection, tracking, optical flow estimation, and segmentation, we want to hear from you.As a Deep Learning Model Acceleration Engineer, you will play a pivotal role in constructing and scaling the infrastructure that underpins Skydio’s Deep Learning (DL) and AI initiatives. You will collaborate closely with our autonomy, embedded, and cloud teams to introduce new capabilities and support our deep learning efforts.Your Impact:Develop high-performance solutions for deep learning inference tailored to CV workloads, ensuring high throughput and low latency across various hardware platforms.Profile CV and Vision Language Models (VLMs) to assess performance, pinpoint bottlenecks, and discover optimization opportunities while enhancing the power efficiency of deep learning inference tasks.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and retraining.Apply your advanced Machine Learning expertise to utilize training or runtime frameworks and model efficiency tools aimed at boosting system performance.Devise innovative methods to enhance training efficiency.Implement GPU kernels for custom architectures and optimized inference.Create SDKs enabling customers and external developers to construct autonomous workflows utilizing Machine Learning (ML).Leverage your knowledge and best practices to maintain and elevate Skydio’s engineering standards.Qualifications:Proven hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment.Strong foundational knowledge in deep learning frameworks and computer vision.Ability to work collaboratively in a fast-paced environment and manage multiple projects simultaneously.

Transform the Future of TravelBe part of GetYourGuide’s mission to link people with unforgettable travel adventures worldwide. Millions turn to us for trustworthy and unique activities, all driven by our dedication to making every journey exceptional – including yours. Ready to explore your potential with a community of fellow adventurers? Discover your next opportunity at our Zurich office or at one of our global locations, from New York to Bangkok. Visit getyourguide.careers to embark on your journey.Team MissionThe Checkout team is at the forefront of enhancing the checkout experience on our website and applications. Our goal is to create a seamless, secure, and rapid journey from activity selection to payment, enabling travelers to effortlessly book and maximize value through a frictionless checkout process. We are invigorating our tech stack with a focus on high-quality, AI-driven development and scalability.Your RoleDesign and implement secure, scalable systems that enhance the checkout process and login experience, primarily focusing on backend development while engaging in frontend tasks as necessary.Work closely with stakeholders to identify customer needs, propose technical solutions, and deliver functional software that addresses customer challenges and drives measurable outcomes.Contribute to the evolution of AI-driven development within the team, establishing best practices that bolster quality and productivity.Regularly enhance our systems by systematically eliminating technical debt and crafting straightforward, scalable, and maintainable solutions.Engage actively in operational tasks, optimizing the management of our services.Collaborate within a cross-functional mission team alongside product managers, designers, and data analysts.Mentor fellow engineers, enrich team culture, and support peers in achieving their best work through constructive feedback and knowledge sharing.

As the foremost US drone manufacturer and a global leader in autonomous flight technology, Skydio is shaping the future of drones and aerial mobility. Our dedicated team excels in artificial intelligence and boasts unparalleled hardware and software development expertise. We prioritize operational excellence and a commitment to customer satisfaction, enabling a diverse range of drone applications from utility inspections to first responders and military operations.Role Overview:We seek a talented Software Engineer to develop cloud-native and full-stack systems that enhance our customer simulation experience. In this vital role, you’ll be responsible for designing and implementing services, APIs, and interfaces that facilitate customer configuration, personalization, and interaction with the Skydio Simulator at scale.This position requires a blend of cloud engineering and direct engagement with the simulator, utilizing C++ and Python systems for real-time simulation and autonomy software. You will play a key role in bridging complex robotics simulations with user-friendly, cloud-based experiences.Key Responsibilities:Cloud-Integrated Simulation Services: Develop backend systems to manage simulator execution, configuration, and lifecycle within cloud environments.Customer Customization and Configuration: Empower users to personalize simulation scenarios, vehicles, and behaviors through robust APIs and services.Simulator Integration: Create reliable interfaces between cloud services and the core simulator runtime, including control, data exchange, and monitoring.Full-Stack Development: Build both backend and frontend components that showcase simulator functionalities via web interfaces and customer-facing applications.Scalability and Reliability: Ensure that simulation services are secure, observable, and capable of handling production-level customer workloads.Your Contributions:Design and build cloud-native services to orchestrate interactions with the Skydio Simulator.Develop robust backend systems that interface with simulator runtime for enhanced control and configuration.Create customer-focused workflows and APIs that enable user personalization of simulation environments.

Role Overview Destinus Group is seeking a Computer Vision Engineer in Zürich to advance the intelligence of autonomous flight systems. This role focuses on improving the precision, reliability, and adaptability of AI-powered aviation products used in real-world scenarios. The work involves refining current algorithms and models as well as developing new approaches to help these systems perform in complex and demanding environments. About Destinus Group Destinus Group develops high-speed, autonomous flight technologies for defense applications. The company builds next-generation unmanned aerial systems designed for speed, accuracy, and efficiency, supporting governments and defense organizations in critical operations worldwide. This position is part of Daedalean AG, Destinus Group’s AI and autonomy hub. The team is responsible for creating safety-critical AI systems that connect advanced research with practical aviation needs. The work combines aerospace engineering with artificial intelligence to build the next generation of autonomous flight systems.

Flexion Robotics develops intelligence for next-generation humanoid robots, aiming to move quickly from prototypes to real-world use. Founded by specialists in robot reinforcement learning from organizations like Nvidia and ETH Zürich, the company has progressed from early code to functional humanoid systems, supported by international venture capital. Role overview This AI Research Engineer position centers on reinforcement learning for manipulation in humanoid robots. The work blends research and engineering, with a focus on enabling robots to perform long-horizon, contact-rich tasks reliably outside the lab. The role involves significant ownership and close collaboration with simulation and control teams to deliver integrated robotic capabilities. What you will do Advance RL-based manipulation: Design and implement learning strategies for complex, dexterous manipulation tasks, moving humanoid robots toward practical deployment. Address long-horizon and sparse-reward challenges: Develop algorithms and systems to help robots handle multi-stage tasks with delayed or sparse rewards, tackling issues like credit assignment, exploration, and stability in real-world conditions. Facilitate sim-to-real transfer: Create methods for transferring policies from simulation to physical robots, focusing on robustness, managing model mismatches, and applying techniques such as domain randomization and system identification. Enhance RL systems: Optimize large-scale training pipelines for learning across many parallel environments, and work with simulation teams to improve efficiency and enable more complex behaviors. Innovate learning methodologies: Explore and apply new approaches that combine reinforcement learning, imitation learning, and model-based methods, going beyond standard practices when needed. Location This role is based in Zürich, Zurich, Switzerland.

Gravis Robotics is an innovative startup dedicated to transforming heavy construction machinery into intelligent, autonomous robotics. Our groundbreaking approach combines advanced learning-based automation with augmented remote control, enabling a single operator to manage a fleet of machines safely from any location globally. With over a decade of academic expertise in large-scale robotics, our team is rapidly expanding to revolutionize this multi-billion dollar industry.Internship OverviewWe are seeking enthusiastic and talented interns to join our dynamic team and contribute to the development and implementation of extraordinary construction robots. The ideal candidate is self-driven, thrives in both independent and collaborative environments, and possesses a strong passion for tackling exciting and complex challenges.At Gravis, we constantly engineer solutions at the intersection of hardware and software. Your responsibilities may encompass one or more areas based on your experience and interests.

WHO WE AREAt Proxima Fusion, we are on a transformative journey to revolutionize sustainable energy. Our pioneering concept, centered around the advanced W7-X stellarator and cutting-edge technology, aims to create commercially viable fusion power plants.Our innovative work in stellarator optimization, enhanced by state-of-the-art computational tools and machine learning, is pushing the boundaries of fusion technology. We are unlocking new, high-performance design parameters through the application of high-temperature superconducting magnets.To seize this monumental opportunity, we are assembling a team of highly dedicated and passionate individuals committed to driving extraordinary advancements and radically transforming technology on a global scale.WHY JOIN PROXIMA FUSIONImpact: Your simulations will play a crucial role in shaping the magnets that support the future of commercial fusion energy.Ownership: As a member of a small, expert team, you will establish modeling standards and significantly influence key design decisions.Frontier Engineering: Engage at the cutting edge of high-field electromagnetics, cryogenics, and sophisticated numerical methods.Collaboration: Join forces with a team that combines profound superconducting expertise with advanced computational capabilities to tackle one of the most formidable engineering challenges of our era.YOUR IMPACTAt Proxima Fusion, we are pioneering the design of the first generation of fusion power plants to deliver clean, carbon-free energy to the world. The core of our reactor is its superconducting coils, which operate at cryogenic temperatures, generate intense magnetic fields, and must maintain stability amid complex electromagnetic and thermal transients.We are seeking a Numerical Modeling Engineer to create high-fidelity simulation tools that predict and mitigate the behavior of our superconducting magnets. Your work will encompass electromagnetic, thermal, and transient multiphysics modeling, including quench dynamics, and will directly inform the design choices for conductors, coils, and protection systems.This position emphasizes the creation of robust numerical frameworks, integrating commercial multiphysics tools with in-house developed models to enable prompt, reliable, physics-driven engineering decisions.

Role overview Speechify seeks a Senior Software Engineer in Zurich, Switzerland, to focus on Windows and desktop applications. This role centers on building software that enhances user interaction and supports productivity within Speechify’s suite of products. What you will do Lead the design and development of new features for Windows and desktop applications Collaborate with cross-disciplinary teams to shape and refine product functionality Implement and optimize application features using current technologies

Role Overview Destinus Group is seeking a Machine Learning Engineer in Zürich to help build advanced computer vision systems for autonomous flight. This role focuses on developing neural networks that must perform reliably in complex, safety-critical environments outside the lab. The work combines deep learning, simulation, and rigorous verification to support real-world autonomous systems where failure is not an option. Destinus Group, through its AI and autonomy hub Daedalean AG, is advancing high-speed, unmanned aerial systems for defense applications. The team works at the intersection of research and aviation, enabling autonomous machines to perceive, understand, and decide in real time. This position offers the chance to contribute directly to next-generation flight technologies that support critical missions worldwide. What You Will Do Design, train, and improve deep learning models for computer vision in dynamic, safety-critical settings. Manage the full machine learning workflow: data strategy, model architecture, deployment, and performance monitoring. Develop evaluation frameworks to ensure models meet strict reliability and safety requirements. Participate in machine learning certification, validating models within regulatory standards. Apply transfer learning and simulation to expand training and testing beyond available real-world data. Work closely with software, systems, and flight teams to integrate machine learning into operational systems. Continuously refine models to handle edge cases, varied environments, and operational constraints.

Skydio stands at the forefront of the drone industry, leading the charge in autonomous flight technology that shapes the future of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with top-tier hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We empower a diverse array of drone users, including utility inspectors, first responders, and military personnel operating in complex environments.About the Role:We are seeking a motivated and results-oriented Solutions Engineer to spearhead technical discovery, demonstrations, and implementations for government and national security clients. This role specifically caters to Ministries of Defense and similar organizations across Eastern Europe and the Middle East. Collaborating closely with Sales, Product, and Engineering teams, you will translate customer mission requirements into effective Skydio deployments.In this role, you will serve as the technical liaison between clients and internal teams, managing the entire technical engagement process. This encompasses discovery, proof-of-concept initiatives, system demonstrations, validation, and field implementations. You should be adept at engaging with senior government stakeholders and working alongside engineers and operators in field settings. Familiarity with government acquisition processes and the delivery of intricate technical systems under contract is essential.This position is part of the Solutions Engineering organization and collaborates closely with Product, Engineering, Sales, and Customer Success to ensure the timely delivery of autonomous systems that meet specifications.How You’ll Make an Impact:Lead technical discovery sessions with government customers to assess mission requirements, operational limitations, regional factors, and success metrics.Plan and execute proof-of-concepts, field trials, and validation events to showcase system performance in real-world scenarios.Deliver comprehensive system demonstrations, including independent setup of equipment, system operation, troubleshooting, and customer-facing presentations.Oversee all facets of system validation and customer implementations to guarantee successful and timely deployments.Act as a subject matter expert during government contracting, testing, and acceptance processes, guiding Sales, Customer Success, and Product teams through validation stages.Assist in business development efforts through technical writing and contributions to RFIs, RFPs, and other documentation.

Become a part of blp – The Leading Solution for ERP AutomationAt blp, we are a pioneering ETH and HSG spin-off that is revolutionizing ERP automation through innovative AI technologies. We tackle real-world enterprise challenges with state-of-the-art solutions and a commitment to accountability. Our platform is operational in over 40 countries, boasting more than 20,000 daily active users and automating over 70,000 processes every day.Our AI-enhanced ERP automation is reshaping sectors such as finance, procurement, logistics, and sales. Being one of Switzerland's rapidly advancing SaaS scale-ups, we pride ourselves on being self-funded and entirely employee-owned.Our growth is fueled by extensive expertise in technology and business processes, delivering an exceptional product that resonates well in the market, as evidenced by our expanding clientele, including Fortune 500 companies.Our impressive growth trajectory and career opportunities have earned us the LinkedIn Top Startup Award, and we are only beginning our journey. Our headquarters is situated on Zurich’s iconic Bahnhofstrasse, an ideal location for a company that is redefining business operations.Are you ready to shape the future? Join blp today.

Transform the Travel ExperienceEmbark on an exciting journey with GetYourGuide, where we connect travelers with unforgettable experiences worldwide. Millions trust us for unique activities, and our commitment is to make every journey exceptional, including yours. Are you ready to unlock your potential in a community of fellow adventurers? Join us at our Zurich office or one of our global locations, from New York to Bangkok. Visit getyourguide.careers to take your first step.Team MissionThe Revenue Platform team is pivotal in transforming GetYourGuide bookings into precise, auditable financial results. We manage the entire booking lifecycle, ensuring it converts into accounting-ready financial data while maintaining the integrity of financial and payout systems. Our goal is to empower internal and customer-facing teams to launch and operate top-tier experiences for our travelers effectively.We thrive on ensuring suppliers are paid accurately and promptly, and Finance and Accounting can rely on our data. This is achieved through clear contracts, reliable platforms, and trustworthy information across sensitive financial domains.Our engineers operate with high autonomy, developing deep domain knowledge and driving innovative solutions while balancing strategic and pragmatic considerations. Collaboration is at the heart of our success.Your RoleProvide technical leadership across the revenue domain while remaining hands-on to deliver essential capabilities for other teams.Lead initiatives to enhance correctness, auditability, and scalability for over EUR 1B in revenue, where minor modifications can have significant impacts.Direct the technical architecture and standards for domain-level financial primitives, ensuring alignment with partner teams.Design and operate backend services that convert the booking lifecycle into accounting-ready financial data, managing over 300 million financial events annually.Deliver and maintain critical financial tools and integrations, including partner tax information validation, FX rates, and robust audit trails for financially impactful changes.Balance the delivery of new features with maintaining existing systems, ensuring high availability and performance.

About GenPeach AIGenPeach AI is a pioneering research lab dedicated to developing vertical multimodal foundation models aimed at creating hyper-realistic human representations in images and videos. Our mission is to empower human creativity through advanced AI tools rather than replace it.We build our models from the ground up, utilizing proprietary datasets at an expansive scale, innovative architectures and training methodologies, extensive GPU resources, and seamless product integration to expedite the delivery of our research to end users.Our team consists of approximately 10 highly skilled professionals, guided by advisors from Google DeepMind and supported by prominent AI-focused investors and advisors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Collectively, our team and advisors have significantly contributed to groundbreaking models such as Meta’s Imagine/MovieGen, OpenAI’s Sora, Google’s Veo, and Gemini.About the TeamYou will become a key member of the research team, focused on advancing image/video generation and multimodal understanding. Collaborating closely with fellow Research Engineers, Scientists, and Founders, you will transform innovative research into scalable training processes, robust evaluations, and production-ready systems.About the RoleWe are seeking an AI Research Engineer to contribute to the end-to-end development and scaling of GenPeach’s foundational models. Your responsibilities will include the implementation of new model concepts and training methodologies, managing critical aspects of the training stack that influence quality and efficiency, and navigating production constraints.This role is hands-on with a high degree of ownership, where you will write research-quality code that is vital for production.In this role, you willDevelop and refine image/video generative model concepts (architecture, loss functions, conditioning, sampling, distillation, post-training adjustments)Oversee training performance comprehensively (distributed training, throughput, memory management, stability, debugging scaling issues)Establish and enhance the experimental workflow (evaluations, ablation studies, reproducibility tools, reporting, decision-making processes)Create and optimize VLMs for image/video captioning (data preparation, training strategies, model variations, evaluation)Conduct high-frequency research: review literature as needed, implement concepts, and validate findings empirically