Job Title : Senior Machine Learning Engineer (Computer Vision)
Office Location : San Francisco, US
Employment Type : Full-time, Hybrid (3 days/week in office)
Compensation: $125,000 - $150,000/year
Our client is a pioneering health technology company based in San Francisco, dedicated to enhancing wellness through innovative in-home health monitoring solutions. Their flagship product is an AI-powered smart toilet seat designed to seamlessly integrate into daily routines while providing continuous health insights. Recognized by TIME as one of the Best Inventions of 2024, our client c ontinues to lead in transforming everyday habits into opportunities for better health.
They are seeking a Machine Learning Engineer (Computer Vision) to join thei r lean and agile team. This role involves ownership of their computer vision and other machine learning algorithms from design, development, testing, and deployment. You will be instrumental in building new product features, working independently within a collaborative startup environment.
As the Sr Machine Learning Engineer, you will :
Lead the design, development, testing, and deployment of thei r computer vision and other machine learning systems, including model training, MLOps pipelines, and inference.
Build, optimize , and maintain robust machine learning pipelines leveraging cloud infrastructure (AWS preferred)
Train, validate, and deploy computer vision models on real-world clinical trial datasets
Implement monitoring systems to ensure model performance, accuracy, and reliability in production healthcare environments
Work cross-functionally with infrastructure, software, and product experts on system-wide architecture and feature development
Contribute to regulatory documentation and validation efforts in support of clinical trials
As the Sr Machine Learning Engineer, you r background should include:
5+ years of experience designing, building, and maintaining production machine learning models and pipelines in the cloud
3+ years of experience in computer vision in real-world applications
2+ years industry experience with Python
Deep understanding of best practices in machine learning and MLOps around data quality (including annotations), monitoring, scalability, and maintainability
Strong grasp of computer vision fundamentals
Proficiency in relevant deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong software engineering fundamentals, with the ability to write clean, reliable code
Track record of independent problem-solving and the ability to proactively drive projects to completion
Demonstrated ability and willingness to quickly acquire new technical skills to meet project demands
Strong communication, collaboration, and organizational skills
Interest in building impactful products in the health sector
Familiarity with a startup environment
Experience working with sensitive health data or datasets governed by HIPAA, GDPR, or other regulatory frameworks
Preferred Qualifications
Proficiency with AWS systems
Experience in the healthcare space such as medical devices or clinical data
Data engineering experience, including annotation workflows and managing large-scale labeled datasets
Benefits and Perks
Competitive salary and equity participation
Healthcare and 401(k) benefits
Flexible work environment with hybrid office structure
Mission-driven, collaborative team
Work on modern technology that integrates hardware, software, and data science to improve lives
Opportunity to contribute to regulatory-grade validation of AI/ML models in healthcare
Benefit from a high degree of ownership and direct impact on their product's success
Contribute as a foundational member of an early-stage startup poised for significant growth in the wellness IoT and healthtech market
If interested, please send your resume to [email protected] .
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