Machine Learning Engineer

ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience. Role responsibilities include: - Working on the intersection of sensing and perception algorithms. - Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition. - Benchmarking and maintaining developed modules. - Work independently to deliver high-quality code in a timely fashion. - Collaborate with team for testing, evaluation and review of code. Required Qualifications - 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. - Strong Python and/or C++ skills. - Passionate about self-driving vehicles and real-world robotic solutions. - Strong presentation and communication skills. Preferred - 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.

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