4 machine learning engineer 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...

Where Humans Meet Machines Your Role & Responsibilities Design and develop state-of-the-art machine learning methods for whole-body control of next-generation humanoid robotic systems Build scalable training pipelines for reinforcement learning and imitation learning at industrial scale Collaborate closely with robotics control engineers, perception teams, and software developers to integrate ML-driven control into a complex real-world robot stack Contribute across the full development lifecycle — from early research prototypes to robust, production-ready controllers Deploy ML-based controllers on physical humanoid robots and iterate through hands-on testing, evaluation, and optimization Provide technical leadership, mentorship, and guidance within a multidisciplinary R&D environment Join an agile, fast-moving team at the intersection of robotics, autonomy, and advanced industrial technology Required Technical &...

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners. Role: We’re looking for a talented MS or PhD intern to join our team in Zürich and push the boundaries of how humanoid robots perceive and interact with the world. You will work at the intersection of 3D scene reconstruction and generative modeling to help us build photorealistic, interactable 3D environments. This is a hands-on role where you might move quickly from research concepts to functional implementations, iterate on 3D representations, and experiment with generative models for spatial data. If you enjoy...