Machine Learning Engineer

• Write and maintain ETL pipelines for clinical and imaging data
• Build, train, and test machine learning models to support oncology workflows
• Support FDA submissions by contributing to documentation and testing
• Participate in design reviews, risk and hazard analyses, and other formal processes
• Collaborate with the cloud team to troubleshoot deployed systems
• Work closely with the AI team to address model issues and propose improvements
• Attend daily stand-ups and related project meetings

• BS in computer science, mathematics, statistics, or related field with 3+ years of experience, or MS with 1+ years of experience
• Expert programming skills in Python
• Experience with other high-level languages such as C#, C++, or Java (desirable)
• Fluent with PyTorch and TensorFlow
• Hands-on experience with building, training, and tuning machine learning models
• Experience building convolutional neural networks (CNNs), particularly U-Net
• Proficient with code repositories such as Bitbucket, GitHub, or Azure DevOps
• Strong knowledge of Git for version control
• Image processing techniques including resampling, smoothing, and segmentation (preferred)
• Clinical programming experience with HL7 or DICOM (preferred)
• Familiarity with HIPAA and medical device regulations in software development (preferred)

Pay range: $130K - $185K

• High-quality medical plan options with premiums covered for employees (subsidized for dependents)
• Health coverage starting on day one, plus short- and long-term disability and life insurance
• 401(k) with immediate employer match
• Annual reimbursement for professional development
• Self-managed PTO, 10 paid holidays, monthly internet stipend, and home office setup allowance
• Fully remote work environment with virtual events and yearly retreats