Senior Machine Learning Engineer, Full-time, Days

Company Description

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?

Job Description

The Senior Machine Learning 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.

Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.   

We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.  

Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:   

• Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategies
• Implementing advanced technologies in clinical and administrative areas
• Further develop end user support model to help enhance modern infrastructure

Responsibilities:

• This role is dedicated to the Canning Thoracic Institute.
• As a leader of the Machine Learning Engineering team, you will work with technical and nontechnical stakeholders to design, build, and manage the infrastructure, platforms, and tools that power advanced technology solutions to enhance medical training, improve quality of care, and enable timely interventions for pulmonary and thoracic patients.

Qualifications

Required:

• Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related field
• At least 5 years of experience developing, scaling, or deploying machine learning models
• Professional experience with AWS, Azure, or GCP
• Ability to drive software engineering best practices and share learnings about theoretical and technical developments in ML engineering with team members
• Experience providing technical expertise in the design and development of end-to-end technical solutions
• Demonstrable experience leading the development of reusable common frameworks, models, or components that can be leveraged to solve common ML problems
• Basic understanding of computer architecture and how it affects software performance
• Demonstrable experience with version control in a team environment
• Proficiency in SQL, Python, and a deep learning framework (e.g. TensorFlow, PyTorch)
• Demonstrable professional experience with CI/CD and RESTful APIs
• Basic understanding of MLOps and associated tools (e.g. MLflow)
• Hands-on experience with containerization (Docker preferred)
• A commitment to writing readable, tested, and well-documented code
• Deep understanding of fundamental computer science concepts, including data structures, algorithms, automated testing, and object-oriented programming
• Demonstrable experience working independently and managing multiple priorities
• Comfortable communicating clearly and succinctly with audiences of varying technical backgrounds
• Motivated by a curiosity for understanding how complex systems work
• Ability to teach and mentor others

Preferred:

• PhD in Computer Science, Engineering, Mathematics, or a related field
• Health care data integration experience (PHI/HIPAA, HL7 FHIR)
• Familiarity with FDA regulation for software as a medical device
• Production experience with Databricks, Spark, and/or Kubernetes
• Knowledge of audio processing workflows and models
• Knowledge of computer vision workflows and models
• Familiarity with asynchronous programming patterns
• Familiarity with GitHub or Azure DevOps
• Hands-on experience with Terraform
• Experience with C, C++, C#, or Go
• Healthcare experience
• Epic experience

Additional Information

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.

If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.