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Machine Learning Engineer

Northwestern Medicine
Occupational fields: 
Employment type: 
Full time
Remote Position: 
Required degree level: 

At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?


The Machine Learning (ML) Engineer reflects the mission, vision, and values of NM, adheres to the organization's Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.

ML Engineers are responsible for building and managing the software and infrastructure of ML operations within NM's Digital Platform. Given the highly interdisciplinary and cutting edge nature of the engineering tasks performed by the entire team, infrastructure and software are tightly interwoven so a highly specialized staff comfortable with both areas is necessary.


  • Building high performance data pipelines to connect systems (i.e. ADLS, SQL, Synapse, DICOM) to ML training hardware on-cloud
  • Performing low-level system performance analysis using tracing software to identify performance bottlenecks of custom pipelines
  • Actively participate in design discussions with end users of pipelines (data scientists) and of the algorithms built from these pipelines (physicians, nurses, other providers)
  • Documentation and presentation of infrastructure in internal and external forums, including open-source standards
  • Routine and spot maintenance of existing pipelines and infrastructure
  • Deploying/maintaining container instances on a Kubernetes platform


Required :

  • Bachelor's degree in comp engineering/comp sci/math/applied math/statistics or related
  • Three to five years' experience deploying, maintaining, monitoring integrated ML/AI in a production setting
  • Experience with low-level programming (C, assembly)
  • Experience with hardware programming (embedded C, CUDA, Verilog/VHDL)
  • Experience with high-level, high throughput APIs (Tensorflow, Pytorch, OpenMPI, ONNX)
  • Experience with high-throughput data pipelines (SSIS, Azure Data Factory)
  • Experience with high-performance containerization platforms (Docker, Singularity)
  • Experience with hybrid container orchestration infrastructure (Kubernetes)

Preferred :

  • Knowledge of Healthcare data (EMR, Claims, Billing, HL7, FHIR), HIPAA/PHI, PII and data security considerations with generalized transformer architecture.
  • Strong background in Data Architecture/Computer Science/Computer Engineering

Equal Opportunity

Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.

Northwestern Medicine is dedicated to providing the most advanced healthcare to the communities and patients we serve. The Northwestern Medicine clinical and administrative staff, medical and science faculty and medical students come together everyday with a shared commitment to superior quality, academic excellence, scientific discovery and patient safety.

Click the link find out more about Northwestern Medicine. 

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