ISEE - Machine Learning Engineer

• Degree in Computer Science, Electrical Engineering, Robotics or related field. • Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe. • Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data. • Passionate about self-driving vehicles and real-world robotic solutions. • Strong presentation and communication skills. • Publication record in top-tier computer vision or machine learning conferences. • 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios. • Robotics/autonomous experience is a plus. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.