6 machine learning engineer jobs found

We need highly motivated and curious people to join our diverse team which rapidly prototypes novel imaging sensors using physical models and unique AI algorithms. As a member of our team, you will have a great opportunity to chart the future of image sensor technology at the world leading image sensor company, Sony Semiconductor Solutions. Your work will impact the most valuable commercial applications for image sensors including mobile platforms such as smartphones, AR/VR headsets, robotics, and more. Our team, acquired in 2019 by Sony, strives to keep alive a startup culture of curiosity and high engagement. We value a diverse work culture that promotes expression of differing opinions and values diverse personalities and backgrounds. This is important for asking the right questions to find the best and simplest solutions. With you on our team, we will live up to the Sony mission to: “Fill the world with emotion, through the power of creativity and technology.” You...

Imagine leveraging your expertise in machine learning, signal modeling, and data-driven health technology to directly improve the lives of millions of people living with hypertension. Hilo by Aktiia is revolutionizing how cardiovascular health is monitored and managed. They’ve developed and commercialized the world’s first continuous blood pressure monitor, empowering both patients and physicians with unprecedented insights into blood-pressure patterns. Backed by over $100M in funding from top-tier investors across Europe and the US, Hilo is a fast-growing startup rooted in over 20 years of research at the prestigious Swiss Center for Electronics and Microtechnology (CSEM). Their CE-certified, Class IIa medical device is already available in over 10 countries worldwide and they are continuing to expand their proven technology and market presence. As Hilo By Aktiia continues to advance its technology, we’re looking for a highly hands-on Machine Learning Engineer who can take...

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...

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity,...

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 &...