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Machine Learning Engineer at Radformation. Location Information: United States. Radformation specializes in Radiation Oncology workflow automation.. Our FDA-approved solutions save time, eliminate planning errors, and enable dosimetrists and physicists to design the optimal treatment for their patients.. ClearCheck​ ​is​ ​a​ ​radiation​ ​therapy​ ​plan​ ​evaluation​ ​tool​ ​used​ ​to​ ​increase​ ​efficiency​ ​in​ ​the​ ​clinic. Seamlessly​ ​integrated ​within​ ​Eclipse as a plug-in,​ ​no​ ​DICOM​ ​export/import​ ​is required​ ​for​ ​plan​ ​evaluation.​ ​ ​ClearCheck​ ​evaluates​ ​dose​ ​constraints, structure checks, plan checks, and collision checks all​ ​with​ ​a single click. Reports​ ​can​ then ​be​ ​generated​ ​for​ ​documentation purposes and ACR compliance.. EZFluence is an automated breast planning tool that is similarly integrated directly within Eclipse. Optimal breast plans (including either field-in-field or electronic compensator techniques) are created in under a minute. Not only does this tool significantly reduce planning time, but ensures consistency in plan quality regardless of the planners'​ experience.. 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