Sr. Machine Learning Engineer (Computer Vision)

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 continues to lead in transforming everyday habits into opportunities for better health.

They are seeking a Machine Learning Engineer (Computer Vision) to join their 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.

Responsibilities

• Lead the design, development, testing, and deployment of their 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 within infrastructure, software, and product teams on system‑wide architecture and feature development.
• Contribute to regulatory documentation and validation efforts in support of clinical trials.

Qualifications

Preferred Qualifications

Benefits and Perks

If interested, please send your resume to adam@peopleconnectstaffing.com.

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