Job Description

As a Lead Machine Learning Engineer, you will join a growing team to deploy machine learning models that automate administrative clinical practices. The role focuses on designing, deploying, and monitoring production models to extract or predict clinical findings from data sources.

Responsibilities

• Design, develop and deploy advanced machine learning algorithms
• Develop reliable and scalable production machine learning systems
• Write and maintain reusable codebases for data preprocessing, model training, evaluation, and deployment
• Provide software and machine learning best practice guidance to junior engineers
• Work cross-functionally with stakeholders to align ML solutions with company objectives

Requirements

• 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD
• Clear understanding of model building, maintenance, and optimization for production
• Understand experimental design and data interpretation
• Expert in Python and deep learning frameworks (e.g., PyTorch)
• Hands-on experience building deep learning models for NLP tasks
• MS or PhD required

Benefits

• No benefits