Senior Machine Learning Engineer (Computer Vision)

Toi Labs
San Francisco, US
Hybrid

Job Description

Company 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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Skills & Requirements

Technical Skills

Machine learningComputer visionNeural networksPattern recognitionPythonTensorflowPytorchHealth data privacyEthical considerationsCollaborationCommunicationHealthcareAiMachine learningComputer vision

Employment Type

FULL TIME

Level

senior

Posted

5/7/2026

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