AI Research Engineer - Image/Video Foundation Models

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

About GenPeach AIGenPeach AI is an innovative research lab focused on developing cutting-edge multimodal foundation models aimed at hyper-realistic human generation in both image and video formats. Our mission is to cultivate tools that enhance human creativity rather than replace it.We specialize in training models from the ground up, leveraging proprietary datasets at a massive scale, pioneering architectures, and custom training methodologies. We utilize extensive GPU clusters and ensure swift product integration so that our research reaches users quickly.Our technical team, consisting of around 10 experts, is guided by Directors from Google DeepMind and supported by premier AI-focused funds and influential angel investors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Together, our team, advisors, and investors have contributed to significant models such as Meta’s Imagine/MovieGen and foundational model work that supports OpenAI’s Sora, as well as Google’s Veo and Gemini.About the RoleWe are seeking a distinguished AI Research Scientist to spearhead the next evolution of GenPeach AI foundation models. This role is categorized as a Leadership Individual Contributor, where you will influence research direction through practical experimentation, guide technical strategy across the entire stack, and mentor a select group of researchers while collaborating closely with the founding team.This position transcends mere fine-tuning of existing models; it involves constructing new capabilities through innovative architecture work, training systems, and post-training methodologies—culminating in their deployment into a production environment.Key ResponsibilitiesCollaborate in designing and training large-scale diffusion models for advanced image and video generation.Develop and refine training recipes (including pretraining, post-training, control, and preference tuning) to unlock enhanced model functionalities.Conduct rigorous ablation studies: discern effective strategies, understand their mechanisms, and communicate findings clearly to guide roadmap decisions.Evaluate speed/quality/cost trade-offs and make informed technical decisions that significantly impact training efficiency and production quality.Contribute to dataset strategy: focus on curation signals, filtering, evaluations, and feedback loops from product performance.Work in tandem with engineering and product teams to transition research into production (addressing serving constraints, stability, monitoring, and rapid iteration).Guide and elevate the skills of a small team of researchers through code reviews and maintaining research standards.

Duration: Minimum 6 months; ideally 9–12 months, depending on the candidate’s experience.At Scandit, we empower individuals with cutting-edge technology. Whether it’s accelerating delivery routes for drivers, ensuring patients receive the correct medications, or streamlining retail operations, our solutions transform workflows and yield actionable insights across diverse sectors. Join us as we innovate, expand, and elevate Scandit to new heights.About the InternshipThis research-oriented internship is designed to propel advancements in machine learning techniques for intricate visual understanding tasks. You will engage in projects that focus on deep learning frameworks for image-to-sequence modeling, including Transformers and attention mechanisms, to tackle complex and highly structured computer vision challenges. Your contributions will play a crucial role in our long-term research initiatives targeting enhanced performance, robustness, and generalization in large-scale visual applications.Your ResponsibilitiesCollaborating closely with seasoned ML researchers and engineers, you will be at the forefront of groundbreaking research that intersects computer vision and sequence modeling. Your key responsibilities will include:Designing and testing innovative ML architectures for structured visual data.Assessing various modeling paradigms, including encoder-decoder frameworks and hybrid Transformer models.Exploring methods to enhance robustness, generalization, and multi-view reasoning capabilities.Conducting systematic experiments, ablation studies, and error analyses to substantiate your research hypotheses.This internship offers a unique opportunity for original model development, extensive experimentation, and impactful scholarly work. You will help drive technological innovation with potential real-world implications for millions of users, making this position ideal for master’s students, PhD candidates, or those aspiring for research careers in academia or industry.Your ProfileYou are a Master's or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, with a strong emphasis on research. You possess a solid understanding of machine learning theory, neural networks, and computer vision.Key Skills:Expertise in Python and deep learning frameworks such as PyTorch.Hands-on experience in designing, training, and evaluating neural networks, including CNNs and Transformer architectures.Exceptional analytical and problem-solving skills, with the ability to tackle complex challenges.

About Flexion Robotics Flexion Robotics is building the intelligence layer for next-generation humanoid robots. The team’s goal: move quickly from early prototypes to practical, real-world deployments. Founded by experts in robot reinforcement learning from organizations like Nvidia and ETH Zürich, and backed by international venture capital, Flexion Robotics has already made the leap from initial code to working humanoid systems. Role Overview: AI Research Engineer – Reinforcement Learning Manipulation This position focuses on advancing reinforcement learning (RL) for manipulation in humanoid robots. The work sits at the intersection of research and engineering, with a focus on enabling robots to handle long-horizon, contact-rich manipulation tasks. The team aims for solutions that are not only innovative but also reliable when deployed outside the lab. The role involves developing new algorithms, improving training systems, and narrowing the gap between simulation and real-world performance. Key technical challenges include handling sparse rewards, improving exploration and stability, and strengthening sim-to-real transfer with better modeling, training strategies, and real-world data integration. Significant ownership comes with the position. Collaboration with simulation and control teams is central to building integrated solutions that deliver real robot capabilities. Key Responsibilities Advance RL-based manipulation: Design and implement learning-based strategies for complex manipulation tasks, focusing on dexterous, contact-rich interactions that move humanoid robots toward practical deployment. Address long-horizon and sparse-reward challenges: Engineer algorithms and systems that help robots tackle multi-stage tasks with delayed or sparse rewards, including credit assignment, exploration, and stability issues in real-world settings. Facilitate sim-to-real transfer: Develop methods for transferring learned policies from simulation to physical robots, emphasizing robustness, handling model mismatches, and using techniques such as domain randomization and system identification. Enhance RL systems: Optimize large-scale training pipelines to support learning across many parallel environments, and work closely 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, moving beyond standard techniques when needed. Location Zürich, Zurich, Switzerland

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 Exa, we are revolutionizing the landscape of search engines by constructing a robust platform from the ground up to cater to every AI application. Our team is dedicated to building a colossal infrastructure that efficiently crawls the web, trains cutting-edge embedding models for indexing, and develops high-performance vector databases using Rust for swift searching capabilities. We are proud to operate a $5M H200 GPU cluster that powers tens of thousands of machines with unparalleled efficiency.As a member of our Machine Learning team, you will play a pivotal role in training foundational models for advanced search functionalities. Our mission is to create systems capable of instantaneously filtering the vast knowledge available online to deliver exactly what you need, no matter the complexity of your query. Essentially, we aim to transform the web into an extraordinarily powerful database.We are in search of a passionate Machine Learning Research Engineer who will focus on training embedding models to enhance web search accuracy. This role will involve conceptualizing innovative transformer-based architectures for search, generating extensive datasets, conducting evaluations, and consistently striving to surpass our internal state-of-the-art benchmarks.

ANYbotics is a rapidly expanding technology firm committed to pioneering the future of mobile robotics across diverse sectors. Become a part of our highly skilled and passionate team of over 200 professionals and contribute to the development of state-of-the-art robotic technology.The OpportunityAs a member of our Solutions team, you will drive innovations in autonomous robotic inspection intelligence. You will develop advanced AI, machine learning, and sensing technologies, from initial exploration to solving complex real-world deployment challenges. By collaborating with engineers and partners, you will evaluate new technologies, design proof-of-concept experiments, build research prototypes, and efficiently transition successful ideas into our products. Your contributions will influence our technology roadmap, steer our long-term strategy, and ensure every solution is robust, dependable, and impactful. If you are passionate about exploration, hands-on experimentation, and believe your research can transform robotics and industrial inspections, this role offers you the chance to make a substantial impact—for our clients and the robotics community.Market & TechnologyANYbotics is revolutionizing industrial plants in the renewable energy, process, and utility sectors by integrating robotics into a variety of innovative applications previously thought unattainable. Our mobile robot ANYmal is designed for extreme mobility in intricate environments, utilizing camera and LIDAR-based sensing for comprehensive autonomy and obstacle avoidance, enabling it to perform tasks and provide high-quality, consistent inspection results. We create numerous custom hardware solutions, encompassing the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all associated ANYbotics electrical hardware.About Us:ANYbotics is a leading robotics enterprise specializing in advanced autonomous systems. Following a successful Series B funding round, we are positioned for significant growth and international expansion. Our mission is to transform the robotics industry through innovative technology and groundbreaking solutions. As we embark on this thrilling journey, we are on the lookout for a dynamic and experienced individual to join our team and help us shape the future of autonomous robotic inspections.

At Google DeepMind, we celebrate the richness of diverse experiences, knowledge, and backgrounds, leveraging these unique perspectives to achieve remarkable outcomes. Our commitment to equal employment opportunity extends to all individuals, irrespective of sex, race, religion, belief, ethnicity, nationality, disability, age, citizenship, marital status, sexual orientation, gender identity, pregnancy, or any other legally protected status. Should you require any accommodations due to a disability or other need, please feel free to inform us.SnapshotThe Gemini Safety team plays a crucial role in ensuring the safety and equitable behavior of Google DeepMind's most recent Gemini models. As a Research Scientist, you will apply and innovate data-driven and algorithmic solutions to enhance our latest user-facing models. This role thrives in a fast-paced, collaborative environment characterized by a strong culture of support and dedication.About UsAt Google DeepMind, we believe that artificial intelligence can be one of humanity’s most impactful inventions. Our team consists of scientists, engineers, and machine learning specialists working together to push the boundaries of AI technology for the benefit of the public and to facilitate scientific discovery. We prioritize safety and ethics in all our collaborations addressing critical challenges.The RoleWe seek a dynamic Research Scientist who excels in tackling new research questions and adeptly implementing innovative research concepts.Our team is focused on enhancing the safety and fairness of cutting-edge AI models, contributing foundational technologies that are integral to various product areas including Gemini App, Cloud API, and Search.Key Responsibilities:Post-training and instruction tuning of state-of-the-art large language models (LLMs), concentrating on text-to-text, image/video/audio-to-text modalities, and agentic capabilities.Investigate data, reasoning, and algorithmic solutions to ensure that Gemini Models are safe, maximally beneficial, and accessible to all.Enhance the adversarial robustness of Gemini, particularly in relation to high-stakes abuse risks.Design and uphold rigorous evaluation protocols to identify model behavior gaps and opportunities for safety and fairness improvements.Develop and implement experimental plans to address identified gaps or to create entirely new capabilities.Foster innovation and deepen understanding of safety in AI systems.

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges within the realms of AI and Robotics. Our goal is to develop future generations of intelligent machines designed to enhance the quality of life for everyone.About the Role: Research ScientistAs a Research Scientist, you will possess extensive hands-on research experience, specializing in one or more of the following areas: Robot Control (Reinforcement Learning, Imitation Learning), Perception, Autonomy and Navigation, Large Language Models (LLM/VLM), and Hardware Design. If you are passionate about innovating technology for robots and enhancing their capabilities and utility, we invite you to become part of our team!

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.

About Mistral AIAt Mistral AI, we harness the transformative potential of artificial intelligence to streamline processes, enhance creativity, and save valuable time. Our cutting-edge technology is meticulously crafted to seamlessly integrate into everyday workflows, making AI accessible and beneficial for everyone.We are dedicated to democratizing AI by offering high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform caters to both enterprise and individual needs, featuring innovative offerings such as Le Chat, La Plateforme, Mistral Code, and Mistral Compute. These solutions empower users with frontier-level intelligence.As a dynamic and collaborative team, we are passionate about the potential of AI to revolutionize society. Our diverse workforce thrives in competitive environments, driving innovation across our distributed teams in France, the USA, the UK, Germany, and Singapore. We pride ourselves on our creativity, humility, and strong team spirit.Join us at Mistral AI and help shape the future of artificial intelligence. Together, we can create impactful solutions that matter. Discover more about our culture at mistral.ai/careers.Mistral AI participates in the E-Verify program.

Role Overview On Running AG is hiring a Senior Lead Marketing Program Manager – Brand Foundation to drive major brand foundation projects within the Global Creative Studio. This role sits in the Program Management team and reports to the Global Head of Program Management. Location options include London or Zurich. The Senior Lead will manage the full lifecycle of core branding initiatives, from brand identity systems and packaging design to visual guidelines and brand platform development. The focus: ensure every element is delivered on time, to high standards, and ready for global scale. Precision, consistency, and quality are central to this mission. What You Will Do Brand Foundation Delivery: Lead the execution of brand foundation projects, including brand identity, packaging systems, visual identity updates, and brand guideline creation. Structure projects for strong outcomes and quality. Creative Studio Collaboration: Work closely with Creative, Strategy, and Production teams to activate the right talent at each stage. Support the creative process from planning and identity development through design and rollout. Brand System Implementation: Oversee the consistent application of brand identity systems, packaging programs, and assets across channels and markets. Support the global rollout and maintain alignment with the overall brand strategy. Cross-Functional Coordination: Partner with teams in Digital, Retail, Marketing, Product, and regional hubs to integrate brand initiatives across all touchpoints for global consistency. Studio Project Management: Act as project lead within the Creative Studio, organizing timelines, workflows, and resources to enable effective collaboration among design, strategy, copywriting, and production groups. Operational Excellence: Help strengthen the Creative Studio’s global delivery by applying structured workflows and program management frameworks to branding projects, supporting clarity, efficiency, and scalability.

About Us:DeepJudge is the premier AI and ICT scale-up in Switzerland, revolutionizing the way law firms and legal departments access and utilize their knowledge. Established by former Google search engineers with PhDs in AI from ETH Zurich, and supported by leading Silicon Valley investors, we are creating the intelligence framework that drives the legal industry.While every firm can license identical AI models, each firm possesses distinct institutional knowledge. Years of expertise, work products, and precedents are often siloed within systems, underutilized and hard to access. DeepJudge transforms this knowledge into immediate availability through state-of-the-art enterprise search and AI infrastructure, allowing firms to automate processes, develop knowledge-centric applications, and leverage experience as a competitive advantage.Our technology is relied upon by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. With our headquarters in Switzerland and a growing presence across North America, we are rapidly expanding and redefining how professional knowledge is discovered and utilized.At DeepJudge, we prioritize speed, rigorous thinking, and a deep commitment to quality in our products. We blend cutting-edge research with close collaboration with our clients to create solutions that have a meaningful impact. If you’re eager to be part of a team that’s shaping the future of AI in high-stakes knowledge work, this is the place for you.About the Role:We are seeking an Applied AI Engineer to join our dynamic team. You will engage directly with customers to understand their operations, identify high-impact opportunities, and develop AI-driven solutions to tackle real-world challenges. A significant aspect of your role will involve utilizing our platform and internal tools to translate product capabilities into high-value customer experiences. This position is not confined to narrow research or pure implementation; it is ideal for individuals who are curious, resourceful, and enthusiastic about building exceptional solutions using the DeepJudge platform.Your Responsibilities Will Include:Taking ownership of customer-specific AI solutions from inception to completion, including problem understanding, approach shaping, solution building, deployment, evaluation, and ongoing improvement.Enhancing our platform and internal tools to develop reusable AI-powered solutions that can be generalized across various customers, serving thousands of end users reliably.Collaborating closely with engineering and machine learning teams to refine AI models and enhance product functionality.

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.

Intrinsic Robotics is at the forefront of redefining industrial robotics as part of Alphabet's innovative vision. We are committed to harnessing advances in AI, perception, and simulation to unlock new possibilities in the field of industrial robotics, with software and data at the heart of our solutions. Our mission is to make industrial robotics smarter, more accessible, and user-friendly for a diverse range of businesses, entrepreneurs, and developers. Our dynamic team consists of engineers, roboticists, designers, and technologists who are passionate about unleashing the creative and economic potential of industrial robotics. Role OverviewAs a Senior Research Scientist within our Applied Research team, you will spearhead applied research initiatives and design groundbreaking algorithms in geometric computer vision and image/video-centric foundation models tailored for scalable deployment in industrial robotics. Your expertise in Deep Learning will aid in defining processes and formulating strategies to reduce hallucination risks, enhance accuracy, and execute algorithms on industrial robotics workcells, thereby assessing the sim-to-real transfer of models. Additionally, you will guide the development of synthetic data and annotations essential for training foundation models, identifying gaps in the sim-to-real transfer process. Collaboration with research partners and interdisciplinary engineering teams will be crucial as we explore new methodologies and architectures to integrate cutting-edge foundation models into real-world industrial applications. Continuous learning and embracing unfamiliar technologies will be integral to your role. Your ImpactYour contributions will be pivotal in democratizing access to advanced AI capabilities within the robotics sector, boosting the reliability of deploying AI models at scale in industrial environments. Your day-to-day responsibilities will include: You will demonstrate insight and innovation, proactively identifying challenges and proposing practical solutions that can be implemented in high-throughput settings.You will act as a liaison between the robotics team and our research partners, collaborating effectively to provide engineering insights into research projects and conceptualize next-generation solutions. You will serve as an advisor to engineering and cross-functional teams, guiding them in translating early-stage AI research into robust engineering capabilities within Flowstate (Intrinsic’s robotics software platform).

Join Avaloq, a leader in the fintech industry, as an AI Software Engineer. In this pivotal role, you will leverage cutting-edge technologies to develop innovative AI solutions that drive our business forward. Collaborate with a talented team of engineers and data scientists to create robust, scalable applications that enhance user experience and operational efficiency.

Join us at anybotics as a Visual AI Data Engineering Intern, where you'll have the opportunity to work on cutting-edge projects that shape the future of AI technology. This internship offers you a unique chance to collaborate with our talented team and gain hands-on experience in data engineering, focusing on visual AI solutions.

About UsAxelera AI is a pioneering deep-tech startup dedicated to developing a next-generation AI platform that empowers individuals to contribute toward advancing humanity and enhancing the world. In just four years, we have successfully raised $120 million and assembled a world-class team of over 220 employees, including more than 49 PhD holders, who have collectively garnered over 40,000 citations. Our team operates remotely from 17 different countries, with offices in Belgium, France, Switzerland, Italy, and the UK, and we are headquartered at the High Tech Campus in Eindhoven, Netherlands.We proudly introduced our Metis™ AI Platform, which delivers a remarkable 3-5x increase in efficiency and performance, and we are currently witnessing a robust business pipeline projected to exceed $100 million.Our steadfast commitment to innovation has positioned us as a global leader in the industry.Are you ready to take on this exciting challenge?

Join our dynamic team at On Running AG as a Specialist in Anaplan Solution Architecture and Model Building. You will play a critical role in designing and implementing robust Anaplan models that drive strategic business decisions and enhance operational efficiency.

What Will Excite YouImplementing innovative AI, data, and integration solutions for prestigious clients across Healthcare, Manufacturing, Retail, and Public Sector.Utilizing cutting-edge technologies like Workato, Salesforce Agentforce, and Anthropic Claude in enterprise environments.Enjoying a hybrid work model that offers flexibility to work from home or at our centrally located offices in Zürich, Bern, Lausanne, or Geneva.Joining a culture that values teamwork, knowledge sharing, and a shared passion for digitalization and AI.Benefiting from a mentoring program that guides you through everyday work and supports your professional as well as personal growth.Receiving a competitive salary while maintaining a healthy work-life balance.Your ResponsibilitiesIntegration and AutomationDesigning and developing enterprise integration solutions using Workato.Implementing end-to-end process automations across systems and organizational boundaries.Building and operating data pipelines between cloud systems (ERP, CRM, HR, databases, APIs).Creating event-driven architectures and real-time integrations.AI & Agentic SystemsDeveloping AI-driven workflows and agentic AI solutions using Workato, Anthropic Claude, Salesforce Agentforce, or Microsoft Foundry.Designing and implementing RAG architectures for enterprise contexts.Integrating LLM capabilities into existing business processes and system landscapes.Conducting prompt engineering and evaluating AI outputs in productive environments.Data EngineeringModeling and transforming business data (ELT/ETL) for analytical and operational objectives.SalesforceProviding technical support for Salesforce projects (Commerce Cloud, Sales Cloud, Service Cloud, Experience Cloud).Integrating Salesforce into the overall system architecture via Workato and APIs.Cross-Functional CollaborationWorking closely with business stakeholders to translate customer experience requirements (Sales, Commerce, Service, Marketing) into technical solutions.Supporting customer workshops, providing technical consultancy, and conducting code reviews.