Über
Role Description This is a full-time hybrid role for a Senior Machine Learning Engineer (Computer Vision), located in San Francisco, CA with flexibility for hybrid work. The engineer will design, develop, and implement computer vision models to drive advancements in health monitoring technology. Key responsibilities include applying machine learning techniques to process biometric and waste data, optimizing neural networks for real-world applications, and collaborating with cross-functional teams to deliver high-performance solutions.
Qualifications
Strong expertise in Computer Science, Algorithms, and Statistics
Proven experience with Neural Networks and Pattern Recognition methods
Proficiency in developing and deploying Computer Vision solutions
Strong programming skills in relevant languages like Python, TensorFlow, or PyTorch
Understanding of health data privacy and ethical considerations is a plus
Master’s or Ph.D. in Computer Science, Machine Learning, or a related field preferred
Ability to work effectively in a hybrid environment and collaborate within a team
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Sprachkenntnisse
- English
Hinweis für Nutzer
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