Senior AI Research Engineer, Visual Perception
Vor 6 Tagen
The Opportunity You'll join our Solutions team, where we push the limits of autonomous robotic inspection intelligence. You'll build cutting-edge AI, machine-learning, and sensing technologies, from early exploration to tackle the toughest real-world deployment challenges. Collaborating with engineers and partners, you'll assess new technologies, design proof-of-concept experiments, build research prototypes, and swiftly transfer promising ideas to our product. Your work will shape our technology roadmap, guiding long-term strategy and ensuring every solution is robust, reliable, and ready for impact. If you thrive on discovery, hands-on experimentation, and know your research can redefine robotics and industrial inspections, this role lets you make a real difference—for our customers and the robotics community.
Market & Technology ANYbotics transforms industrial plants in the (renewable) energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, to perform jobs and deliver high-quality, consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware
About Us: ANYbotics is a leading robotics company specializing in advanced autonomous systems. With a successful Series B financing round recently closed, we are poised for rapid growth and international expansion. Our mission is to revolutionize the robotics industry through cutting-edge technology and innovation. As we embark on this exciting journey, we are seeking a dynamic and experienced person to join our team and help us shape the future of autonomous robotic inspections. Your Contributions
- Exploring, developing, and implementing cutting-edge technological advancements in multi modal (vision, audio, thermal, gas,...) machine learning.
- Identifying emerging technologies, conducting in-depth evaluations, and translating these findings into innovative products.
- Developing prototypes and conducting pilot projects to test new technologies in controlled environments.
- Driving collaborations with tech startups, research institutions, and industry leaders to leverage external expertise and accelerate innovation.
- Connecting with the engineering teams for the adoption and integration of new technologies into existing systems and processes, ensuring a seamless transition.
- A PhD in Machine Learning (or a related technical field) OR 4+ years of relevant industrial hands-on experience.
- Excellent at designing and deploying state-of-the-art computer vision and AI perception models including multi-modal approaches.
- Excellent expertise in modern deep learning techniques, including transformer-based architectures, large Vision-language models (VLMs), Video generative models and diffusion algorithms or Vision Language Action models (VLAs) with hands-on experience training and fine-tuning such systems for scene understanding applications.
- Strong track record of implementing and evaluating advanced AI algorithms for perception and scene understanding in real-world scenarios.
- Strong practical experience across the MLOps pipeline—from data collection and curation to training, fine-tuning, and evaluation.
- Strong in fast prototyping, concept validation, and rapid iteration—you build to learn and use experimentation as a core development tool.
- Strong programming skills in Python, with the ability to write clean, and efficient code.
- Experienced in leading R&D initiatives or small cross-functional teams, with a focus on transferring promising ideas into impactful products.
- Strong in self-coordination and project ownership, able to structure your work independently, align with strategic goals, and deliver meaningful outcomes.
- Excellent communication skills, with the ability to effectively share knowledge and insights.
- Experience with large scale machine learning compute systems.
- Demonstrated coding, debugging, and engineering skills in writing modern C++.
- Good familiarity with GPU programming, performance benchmarking and optimization, to deploy on edge or cloud systems
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