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Senior Machine Learning Engineer; Computer Vision

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Toi Labs
Full Time position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Computer Science
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Senior Machine Learning Engineer (Computer Vision)

Company Description

Toi Labs developed True Loo, 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, Tensor Flow, or Py Torch
  • 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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Position Requirements
10+ Years work experience
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