5 machine learning jobs found in Zürich

We are looking for a computer vision and machine learning (CV/ML) engineer to enhance the perception capabilities of our fully autonomous drone-in-a-box system. You will be joining a small, CV/ML focused team and be one of the core contributors to our software stack, taking algorithms and models from prototype to deployment on the systems in the field. This position is for an on-site employee for our Zurich office.   Tasks Design and develop a wide variety of computer vision and machine learning features for real-time unmanned aerial vehicle (UAV) applications Train, fine-tune and evaluate deep learning models for tasks such as object detection, semantic segmentation, image retrieval/reidentification Optimize algorithms and models for edge devices (NVIDIA Jetson and Qualcomm Dragonwing), and integrate them into our image and video processing pipelines Monitor ML model performances in real world deployments and set up workflows for continuous improvement...

About us: Daedalean  is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.   Your role: As a ML company we produce and utilize large amounts of aerial video data that we need to store, process and make useful for our teams globally. You will be a part of the ML team designing, implementing and maintaining tools and infrastructure to support our ML development environment. These have to be efficient, scalable, reliable and adhere to very specific requirements dictated by our certification efforts whilst maintaining the necessary flexibility for the ML development. At Daedalean, we support both on-premise as well as cloud-based compute clusters. The work spans building web APIs, Kubernetes workflows, databases, storage and in-house tools...

Within the Scientific AI team, you will apply your expertise at the intersection of scientific disciplines and AI to shape and scale the firm’s scientific innovation capabilities. Geneva London Paris Zurich Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place. YOUR IMPACT As a member of McKinsey's global Scientific AI team, you will apply your expertise at the intersection of scientific disciplines (e.g., protein engineering, chemistry, computational biology, medical/medicine domain expertise, materials science, biostatistics, physics) and artificial intelligence (e.g., machine learning, generative AI, foundation models, causal inference) to shape and scale the firm’s scientific innovation capabilities. You’ll be working...

Big Data System Engineer (Platform Engineer) 1 year fixed term contract with extension About the role As a Big Data System Engineer (Platform Engineer), you will make an impact by designing, implementing, and maintaining scalable big data platforms. You will be a valued member of the data engineering team and work collaboratively with architects, developers, and business stakeholders. In this role, you will: Design and implement big data infrastructure and platform solutions. Ensure high availability, scalability, and security of data systems. Collaborate with data engineers and analysts to optimize data workflows. Monitor and troubleshoot platform performance and reliability. Automate deployment and maintenance tasks using DevOps practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring...

This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia. We're an experienced team of roughly 60 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture. We offer our employees a very competitive salary, a generous equity stake (for full...