Job Title: Machine Learning Engineer

Company Name: AI4LIFE

Job Url: https://www.linkedin.com/jobs/view/4387424882/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=%2Brb6r2MMpcJgGlBBw0Kfcw%3D%3D&trackingId=S6tUCYWNRHMRNa8y%2F%2F1wgA%3D%3D

Job Description: 
AI4LIFE


Machine Learning Engineer

San Francisco Bay Area · 1 hour ago · Over 100 applicants

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Remote
Full-time
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Meet the hiring team


Jeff Lansman 

• 3rd

CEO and Founder
AI4LIFE
Zug, Switzerland 

Professor Emeritus of Cellular & Molecular Pharmacology, UCSF School of Medicine

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About the job
Company Description

 

AI4LIFE is a global medical software platform focused on precision diagnostics and the management of early cardiovascular and renal diseases before symptoms appear. Our platform offers accurate risk predictions for disease progression and supports point-of-care management to improve global health outcomes. Our team is headed by scientists from the University of California and medical specialists with long ttrack record in Swiss biopharma. Our mission is to deliver innovative solutions that empower frontline healthcare providers to bring advanced cardiorenal diagostics to underserved communities worldwide.



 Role Description

 

AI4LIFE is seeking a skilled Machine Learning Engineer for a full-time remote position. In this role, you will develop, implement, and optimize machine learning models for precision diagnostics. Responsibilities include designing algorithms, training and fine-tuning neural networks, analyzing large datasets, and collaborating closely with cross-functional teams to integrate machine learning solutions into our platform. You will drive innovation and contribute to improving patient outcomes by advancing our AI capabilities.



 Qualifications

 

Strong understanding of Pattern Recognition and Neural Networks
Solid foundation in Computer Science concepts and Algorithms
Proficiency in Statistics and statistical modeling
Experience in designing and implementing scalable machine learning solutions
Proficiency in programming languages such as Python or R
Excellent communication skills with the ability to collaborate across teams
Master’s degree or higher in Computer Science, Data Science, or a related field preferred
Experience in healthcare or medical technology is a plus