Senior Principal AI/ML Scientist
Abbott
At a glance
AI generatedThe Principal ML Engineer will join Abbott’s Medical Devices Digital Solutions team in Chicago, leading technical execution for AI initiatives that enhance medical devices. This role involves developing and maintaining a robust AI development framework, architecting scalable cloud/on-prem hybrid infrastructure, and collaborating with data scientists to deploy production-ready solutions while ensuring compliance with regulatory standards like HIPAA and GDPR. Key responsibilities include building CI/CD workflows, mentoring team members, and evaluating emerging technologies such as large language models and multimodal machine learning techniques. The ideal candidate has extensive experience in ML solution deployment using Python, Azure OpenAI, and Azure Databricks, along with a strong background in medical device technology and FDA-regulated environments.
Skills
What you'll do
What we're looking for
Market check
This $130,700–$261,300 range sits above 34% of similar postings on FindRole.
Peer median band
$172,100–$254,724
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$174,925–$246,500
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has 43 open roles on FindRole.
Listed pay typically runs $99,300–$198,700 across 41 roles with salary data.
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