6 statistics jobs found in Zürich

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. Be Empowered with our 10-week Summer Internship Programme. Join us for a 10-week internship from 1 July to 4 September 2026 and spend your summer discovering the opportunities and challenges of the wealth management industry. As a student, this internship is a chance to explore your interests, develop new skills, and gain hands-on experience working alongside experienced professionals on real projects. Our programme includes various learning sessions as well as networking opportunities, allowing you to connect with colleagues and our graduates. Whether you are passionate about finance, technology, or innovative problem-solving, our programme provides the ideal environment to learn, grow, and thrive. Apply now and join our dynamic team for a summer...

Meta Reality Labs focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The XR Spatial AI Research team within the Reality Labs org brings together a world class team of researchers and engineers working on a wide range of problems in 3D Computer Vision, Generative AI and Agentic AI for AR and VR. We are seeking exceptional interns with a background in Agentic AI to join our team. We are specifically looking for candidates to work in areas such as Vision Language Models, Agentic AI, Learning from Demonstration and Representation Learning. Our internships are eighteen (18) to twenty-four (24) weeks long. Research Scientist Intern, 3D Computer Vision and Generative AI (PhD) Responsibilities: Research and develop new agentic methods for Spatial AI that leverage multiple LLMs/VLMs to answer natural language spatial queries Present the outcomes of research findings as papers in top tier conferences in the area of CV and Machine Learning...

Graduate Programme 2026, Wealth Management COO Office This is a unique 12-month programme based on a permanent contract within UBP’s Wealth Management COO organization, with a mandate to deliver AI-enabled process improvements across our global WM operation. As a graduate, you will tackle complex challenges by leveraging advanced (AI) technologies and data analytics, focusing on real-world business cases that integrate GenAI and emerging technologies into front-to-back processes to enhance efficiency and quality. This multifaceted role offers opportunities in areas such as web application design, prompting, data analytics, business intelligence, and GenAI integration. Throughout the programme, you will be mentored by the Head of WM Reporting & Dashboards, based in Zurich, and supported through rotations across internal teams to provide a 360-view. The programme offers a comprehensive learning experience, enabling you to gain valuable insights into the finance industry and...

About You Do you love making search actually work well for the user? Are you hands-on with ranking algorithms, query understanding, and excited to ship improvements that users feel the same day? Do you enjoy building pragmatic, low-latency, cost-aware solutions for AI-assisted legal research (where citations, precision, and traceability matter)? If so, we’d love to hear from you. About Omnilex Omnilex is a young dynamic AI legal tech startup with its roots at ETH Zurich. Our passionate interdisciplinary team of 14+ people is dedicated to empowering legal professionals in law firms and legal teams by leveraging the power of AI for legal research and answering complex legal questions. We already stand out with handling unique challenges, including our combination of external data, customer-internal data and our own innovative AI-first legal commentaries. Tasks Your Responsibilities As an AI Engineer - Legal Search Optimization, you will focus on building...

About You You’re the person teams trust when the workload is messy, privacy-sensitive, and “it must not go down.” You like building systems that stay boring in production: hardened VMs, predictable deploys, clean rollbacks, useful alerts, and security controls that work by default. You can talk comfortably about trade-offs, latency vs cost, isolation vs operational complexity, GPU vs CPU, shared vs per-tenant, and you’ve probably earned that comfort by running something real in production and being on the hook when it breaks. About Omnilex Omnilex is a fast-moving AI legal tech startup born out of ETH Zurich. Our interdisciplinary team of 14+ people builds an AI product that helps lawyers and in-house legal teams research faster and answer complex legal questions with confidence. We combine external/public sources, customer-internal knowledge, and our own AI-first legal commentaries to tackle real-world legal complexity, often under strict data residency and privacy...