Sr. Machine Learning Software Engineer

Location – Chicago, IL | Coralville, IA | or Remote-US

Digital Diagnostics is looking for an experienced and highly skilled Senior Machine Learning Software Engineer to join our dynamic team. The successful candidate will have a solid background in Python and C++ programming, with a particular focus on the operationalization of machine learning algorithms, and play a crucial role in the software engineering and deployment of machine learning models developed by our research team into a regulated software as a medical device.

Core responsibilities include:

•  Collaborate with our research team to understand, implement, and optimize machine learning algorithms.
• Develop, deploy, and monitor machine learning software solutions in a regulated production environment, ensuring compliance with relevant medical device regulations and documentation standards.
• Develop and maintain software libraries and tools for the deployment and execution of machine learning algorithms.
• Optimize and fine-tune machine learning algorithms for performance, memory usage, and real-time inference on resource-constrained devices.
• Work closely with cross-functional teams, including software engineers, machine learning engineers, and regulatory experts, to ensure smooth deployment, integration, and operation of machine learning models.
• Conduct code reviews, provide technical guidance, and foster a high-performing collaborative engineering culture.
• Stay up to date with the latest advancements in machine learning, machine learning operations, and relevant industry trends to drive innovation and maintain technical excellence.

What You’ll Bring to the Team

• Bachelor’s degree in computer science, engineering, natural sciences, or a related field.
• Strong proficiency in Python and working knowledge of C++.
• A minimum of 5 years' experience in a relevant machine learning engineering role.
• Proven experience in deploying machine learning models in a production environment.
• Excellent written and verbal communication skills.
• Experience with machine learning frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Experience with deploying computer vision algorithms in the medical space, including processing tools like OpenCV and CUDA.
• Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.
• Knowledge of DevOps practices, CI/CD pipelines, IaC, and Docker or similar container technologies.
• Knowledge of regulatory compliance in medical technology (FDA, CE marking, etc.).

 What We Have to Offer

• Supportive and flexible work environment.
• Remote-friendly culture.
• Access to competitive benefits.
• Mission-driven teammates who are working to tackle complex challenges to help improve the accessibility and quality of medical diagnosis.
• Core behaviors that inspire day-to-day interactions.
• Dedication to career growth and development of our team members through mentorship programs and defined growth paths.
• Virtual social and wellness events.

Who We Are

Digital Diagnostics Inc. is a pioneering AI diagnostics company on a mission to transform the quality, accessibility, equity, and affordability of global healthcare. We pursue our mission through the application of technology in the medical diagnosis and treatment process. The company, originally founded by Michael Abramoff, MD, PhD, a neuroscientist, practicing fellowship-trained retina specialist, and computer engineer, is led in partnership with co-founders, John Bertrand, and Seth Rainford. Digital Diagnostics’ first FDA De Novo cleared autonomous AI system, LumineticsCore™ (formerly IDx-DR), is already improving patient outcomes by detecting diabetic retinopathy (including macular edema) at the point-of-care.

Digital Diagnostics is paving the way for autonomous AI diagnosis to become a new standard of care, contributing to democratizing healthcare and closing care gaps. The company works closely with patient advocacy groups, federal regulators, and other quality of care and ethics-focused stakeholders to enable adoption of autonomous AI.  For more information and the latest news follow: https://digitaldiagnostics.com/

What We Believe

At Digital Diagnostics, we’re doing “AI the right way” by building healthcare solutions that are safe, equitable, and accessible. We’re not only building a platform; we’re also building a community that emulates these values. We believe that inclusion and equity in healthcare start with a community of collaborators that celebrates human difference