Bachelor degree in Computer Science or related technical field or equivalent practical experience. Experience with one or more programming languages including……
Assist in developing and fine-tuning computer vision models for tasks such as detection, recognition, and tracking. Knowledge of MLOps best practices and CI/CD.…
Strong experience in radar data processing and/or computer vision. Develop and optimize computer vision algorithms for object detection and tracking.…
Wir suchen einen erfahrenen Ingenieur für Computer Vision und Geodaten-KI zur Entwicklung eines KI-Produkts im Verteidigungstechnologiebereich.…
2+ years of professional experience in computer vision, deep learning, or robot perception. Direct experience with Data Annotation using CVAT, and/or Label……
5–7 years experience in computer vision, ML engineering or production AI systems. Develop and deploy computer vision models for real-world video and sensor……
Monitor and maintain 200+ vision inspection systems across production lines, ensuring precision, inspection rate, and uptime consistently meet or exceed targets……
Experience using computer vision algorithms, training and validating deep Neural Networks. Interest in medical technology, computer vision algorithms, and……
Expertise in computer vision, image processing and analysis in Python or Matlab. Bachelor's or higher degree in Computer Science, Engineering, Physics.…
Strong experience in computer vision and deep learning, with a focus on object detection using one-stage or two-stage models (YOLO, FCOS, DETR, Faster R-CNN,……
The possibility to learn and implement cutting edge 3D computer vision methods. Integrated in a team of scientists and research engineers, you will work (for at……
Experience in computer vision, spatial data, 3D, AR/VR, or related domains is a plus. You have a strong foundation in machine learning fundamentals such as……
BS/MS/PhD in Computer Science or a related field. This role is responsible for all aspects of data collection to support our model training operations.…
You have successfully completed a degree in computer science or acquired a comparable qualification and are looking for a career start in the future-oriented……
Bachelor's or Master's degree, or equivalent project/research experience, in computer science, machine learning, computer vision, graphics, robotics, or a……
MS or BS degree in Engineering or Science. Develop optimized implementations of automotive ADAS computer vision applications on the videantis processor platform……
Hands-on experience in the fields of autonomous driving and computer vision. Experience with transformers and / or graph neural networks architectures.…
Master’s or PhD in optics, computational physics, applied mathematics, or a related field. Hands-on R&D testing experience with laser systems or optomechanical……
Our systems demand high availability, scalability, resilience, and a strong focus on customer experience. You write clean code and always follow the agreed best……
Background or interest in mathematics or machine learning. Masters degree in computer science/engineering or equivalent professional experience, with 3+ years……
As a Computer Vision Engineer, you design and implement machine learning solutions for autonomous systems, focusing on tasks like object detection, semantic segmentation, and SLAM. You work with multimodal sensors (cameras, lidar, radar) and collaborate with teams to bring ML models into real-world systems that fly, drive, or swim. Proficient in C/C++, Python, Linux, and CI, you turn vision algorithms into reliable autonomous capabilities.
Your Role
Design and implement amazing machine learning solutions for our autonomous systems, including tasks like object detection, semantic segmentation, behavioral cloning or reinforcement learning
Develop algorithms for different modules like sensor fusion, perception, SLAM, environmental analysis, motion prediction or mission and motion planning
Work with multimodal Sensors: Cameras, Lidar, Radar, etc.
Interact with our cross functional engineering team and customers to identify opportunities and requirements
Directly apply machine learning models into real world products that will fly, drive or swim autonomously
At a minimum we’d like you to have
Bachelor degree in Computer Science or related technical field or equivalent practical experience
Experience with one or more programming languages including but not limited to: C/C++, Python
Experience with SW Continuous Integration
Experience with SW Development under Linux
It’s preferred if you have
About
Are you ready to redefine the future of transportation across all domains? At Spleenlab, we're building the safety backbone for autonomous movement, ensuring people and things can navigate the world with confidence. Our expertise spans self-driving cars, trucks, maritime vessels, UAVs, air taxis, helicopters, and traditional aircraft.
We specialize in creating cutting-edge AI perception software powered by machine learning, specifically designed for safety-critical autonomous systems. This isn't just about code; it's about enabling a safer, more efficient tomorrow across land, air, and sea.
As part of our dynamic and interdisciplinary team, you'll work alongside recognized AI leaders, contribute to groundbreaking projects, and directly influence the next generation of autonomous mobility. If you're an ambitious AI professional eager to make a real difference, we want to hear from you.
Benefits
Corporate Benefits: Team members enjoy exclusive brand deals and appealing non-cash benefits.
Work-Life-Balance: Flexible working hours and mobile working options.
Vacation Days: 30 days of vacation per year.
Ergonomic Workstations: Equipped with height-adjustable desks and ergonomic office chairs.
Company Events: Regular team events, meet & greets, and an annual Christmas party as integral parts of our company culture.
Training Opportunities: Includes participation in conferences, trade fairs, and leading international top conferences.
Free Drinks: Enjoy complimentary coffee, tea, and water to keep you refreshed throughout the day.
Travel Expenses: Allowances for additional meal expenses during business trips.
Your Next Opportunity Starts Here
At Spleenlab, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We consider all qualified applicants, in accordance with the legal requirements. If you have a disability or special need that requires accommodation, please let us know.
Please send your CV and accompanying material directly to career@spleenlab.ai