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. To be candid, if you are looking for a role as a Data Scientist/ML Engineer this is not the right one: you probably won’t train any models. However, if your time in the trenches as a Data Scientist/ML Engineer has you feeling like the most pressing problems around model training are engineering ones — and you feel torn between your love of ML and your love of software engineering — then this is the right role, and we would love to talk! As a member of the team you will play a crucial part in architecting, engineering, optimizing, and deploying machine-learning systems including 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 systems. Including in a regulated production environment to ensure 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.
• Design and automate systems for ingesting training data.
• 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, MLOps, software engineering, and relevant industry trends to drive innovation and maintain technical excellence.

Required

• Bachelor’s or graduate degree in computer science, engineering, natural sciences, or a related field.
• Excellent written and verbal communication skills.
• Strong proficiency in Python.
• A minimum of 5 years' experience in a relevant machine-learning engineering role.
• Proven experience in deploying machine learning models in a production environment.
• Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.

Preferred

• Experience with deploying computer vision algorithms in the medical space, including processing tools like OpenCV and CUDA.
• 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 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™ (form