Machine Learning Engineer at Function

Join Function as a Machine Learning Engineer, where you will create advanced ML systems for analyzing longitudinal health data. Your expertise will drive insights crucial for disease prediction and public health.

In this senior role, you will develop, train, evaluate, and deploy machine learning models that handle multimodal healthcare data. Working alongside data engineers and clinical experts, you will ensure that systems are reliable and interpretable, suitable for regulated environments. Your focus will be on creating processes that prioritize data accuracy and actionable insights across clinical cohorts.

Key Responsibilities:

• Develop ML models with longitudinal healthcare data

• Collaborate to translate clinical data into ML-ready formats

• Build end-to-end ML workflows from prototyping to monitoring

• Design models capturing temporal patterns in healthcare data

• Define evaluation frameworks prioritizing interpretability

Requirements:

• 3+ years of ML systems production experience

• Proficient in Python and frameworks like Py Torch

• Familiar with multimodal and longitudinal data analysis

• Strong feature engineering and model validation skills

• Ability to collaborate in shared environments

Leverage your skills to drive impactful health insights at Function. #J-18808-Ljbffr