
Senior Machine Learning Engineer, Robotics & Computer Vision
Posted Sep 18

Posted Sep 18
This is a fully remote position, open to applicants in Poland.
• Take ownership of the AI/ML/Vision core for the robotics automation product.
• Collaborate closely with the CTO and Co-founder to ensure ML capabilities align with the technical strategy.
• Develop custom training loops and design as well as implement neural network architectures.
• Oversee the complete lifecycle from raw data processing to training, fine-tuning, and deployment at the edge.
• Create AI/ML/Vision components for the Minimum Viable Product (MVP).
• Define the AI/ML stack and model architecture.
• Stay updated on trends in AI, computer vision, and robotics.
• Mentor new engineers as the AI/ML team expands.
• Convert customer insights and market demands into solid AI/ML technical specifications.
• Contribute to maintaining code quality, ownership, rapid iteration, and high execution standards.
• Integrate AI capabilities into a commercially viable physical robotics product.
• A minimum of 3 years of comprehensive Deep Learning experience.
• Demonstrated history of engineering advanced Computer Vision systems in the industrial automation field.
• Profound knowledge of contemporary deep learning tools, with a preference for PyTorch.
• Experience in writing custom data loaders and loss functions.
• Practical experience with CNNs, ViTs, object detection, and segmentation.
• Proven ability to build and deploy ML components in real, production-ready applications.
• Pragmatic, analytical mindset, and comfortable in fast-paced, uncertain startup environments.
• Proficient in both Polish and English, spoken and written.
• Experience with hardware control/integration of AI models with physical systems, robotics, embedded systems, or IoT is a plus.
• Familiarity with ROS/ROS2, simulation environments, and control systems is an advantage.
• Background in robotics automation platforms, cloud-edge architecture, or industrial automation is beneficial.
• Experience in deep-tech, robotics, or engineering-focused startups is a plus.
• Previous leadership experience is advantageous, though not mandatory.
• Legal authorization to work within the EU is required.
• Equity/incentive package that grows alongside the company and your role.
• Support from a seasoned startup studio and capital group.
• Access to industry experts and expertise in startup development.
• Quick decision-making in a high-impact environment.
• A key technical position with genuine influence over the AI/ML trajectory of the product.
• Opportunity to establish the AI/ML core of a robotics startup from the ground up.
Shield AI
Weekday (YC W21)
Roadpass Digital
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