Principal ML Engineer

Location: Elkins Park

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges.

While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy:  applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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* Job Description:

**** Principal ML Engineer
**** 3M Health Care is now Solventum
**** At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
**** We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.
**** The Impact You’ll Make in this Role
** As a
** Principal ML Engineer**, you will lead the technical architecture and engineering strategy for integrating sophisticated AI into high-stakes Healthcare Information Systems (HIS). We are looking for a seasoned builder who prioritizes
** reliability, system performance, and automated scalability
** over hype.

While many focus on the "science" of modeling, your mission is the
** engineering of the ecosystem**. You will architect the robust MLOps pipelines and cloud infrastructure required to move models from experimental notebooks into mission-critical clinical environments. You are the bridge between raw data and resilient, production-grade AI services.
** Key Responsibilities
**** 1. MLOps & System Architecture**
* ** Production Lifecycle:
** Lead the design and implementation of end-to-end ML life cycles, focusing on automated CI/CD pipelines, model versioning (MLflow/DVC), and reproducible experimentation.
* ** Inference at Scale:
** Architect high-performance serving layers for both LLMs and classical models, ensuring low-latency and high-availability in a secure healthcare cloud environment.
* ** Agentic Orchestration:
** Build the underlying infrastructure for agent-based reasoning systems, ensuring these "Agentic" workflows are traceable, auditable, and integrated into existing HIS.
** 2. Data Engineering & Infrastructure**
* ** Data Reliability:
** Design robust data pipelines (ETL/ELT) to process healthcare-specific formats (FHIR, HL7, DICOM) into high-quality features for real-time and batch inference.
* ** Hybrid

Infrastructure:
** Manage and optimize cloud-native infrastructure (AWS/Azure/GCP) using Infrastructure as Code (Terraform/Pulumi) to support heavy compute workloads.
* ** System Integrity:
** Implement comprehensive monitoring and observability frameworks to detect data drift, model decay, and system bottlenecks before they impact clinical outcomes.
** 3. Technical Leadership & Governance**
* ** Engineering Authority:
** Serve as the lead architect for the ML platform, ensuring all systems are HIPAA/HITRUST compliant and follow "security-by-design" principles.
* ** Operational Excellence:
** Establish rigorous standards for code quality, containerization (Docker/Kubernetes), and system documentation across the engineering organization.
* ** Strategic Mentorship:
** Elevate the team by fostering a culture of "ML as Engineering," guiding junior engineers…