AI Software Tech

About Aidoc

Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.

Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.

About this role

This is a AI Software Tech Lead, ML role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.

Responsibilities

• Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
• Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
• Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
• Develop and maintain high-quality, scalable, and efficient code.
• Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems)

Requirements

• BA/BSc/MSc in Computer Science, Engineering or a related field.
• 7+ years of experience in developing large scale production systems – including architecture design, research, development and testing.
• Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity
• Passion for building generic and robust software architecture
• Passion for elegant and effective technological solutions, and a love for clean code
• Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc.
• Strong ability to lead end-to-end development processes