Machine Learning Engineer
Scarlet
About this role
A Machine Learning Engineer at Scarlet is responsible for deploying state-of-the-art AI models in production environments to enhance the certification of medical devices. The role involves collaborating with medical professionals and engineers to develop tools that accelerate and streamline AI systems' validation processes. Key tasks include building datasets, designing evaluation metrics, and creating innovative solutions such as multi-agent systems for evidence gathering. The ideal candidate should have significant experience in software development, a strong understanding of machine learning principles, and a passion for addressing real-world challenges in the medical AI space.
Skills
About Scarlet
www.scarlet.ccScarlet is Europe's only Notified Body specializing in the certification of software and AI as medical devices. The company streamlines the certification process for Software as a Medical Device (SaMD) and AI-based Medical Devices (AIaMD), helping manufacturers bring their innovative solutions to market efficiently. Scarlet's mission is to facilitate the transition to universally accessible healthcare by enabling their clients to meet regulatory standards without unnecessary delays. By focusing on specialized processes for software and AI technology, Scarlet aims to enhance the overall quality and availability of healthcare solutions.
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About Scarlet
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Scarlet.
Salary
$163k – $220k
per year