Senior Machine Learning Engineer (Computer Vision)
Occupations:
Data ScientistsSoftware DevelopersComputer and Information Research ScientistsComputer Systems Engineers/ArchitectsComputer Systems AnalystsIndustries:
Business Schools and Computer and Management TrainingContinuing Care Retirement Communities and Assisted Living Facilities for the ElderlyElementary and Secondary SchoolsCut and Sew Apparel ManufacturingOther Schools and InstructionCompany Description
Toi Labs developed TrueLoo, an innovative AI-powered toilet seat that monitors health by analyzing biometric and waste data with precision. This cutting-edge technology represents a significant advancement in personal health tracking, offering actionable insights. Focused on improving health and wellness, Toi Labs delivers impactful solutions using artificial intelligence. Join our mission to revolutionize healthcare monitoring and make a meaningful difference in people’s lives.
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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