we are looking for a AI Staff Software Engineer, ML Platform.
This is a Principal AI Software Engineer role at the heart of AI Engineering group-where algorithms, infrastructure, and products intersect. Youll lead the evolution and scaling of AI architecture, ensuring reliability, efficiency, and impact across global clinical workflows. The role combines technical depth with cross-functional influence, strengthening how our AI systems are built, integrated, and delivered to drive ongoing impact for patients and care teams.
Responsibilities:
Lead cross-domain engineering initiatives connecting AI algorithms (CV, NLP, and deep-learning systems), software, and data systems-from design to delivery.
Stay hands-on, contributing to AI-serving (training and inference), integration, and orchestration components while setting high technical standards.
Partner with Algo teams to connect algorithmic innovation with strong system design, ensuring smooth delivery across Product and Engineering.
Guide architectural evolution, ensuring efficiency, consistency, and maintainability across AI workflows.
Communicate direction and priorities clearly, aligning teams around technical goals.
Mentor engineers and promote technical excellence, sound design, and shared best practices.
Foster collaboration and shared ownership, helping maintain a culture that values clarity, curiosity, and technical excellence.
Uphold quality and reliability-including clean code, testing, and CI/CD discipline-while evaluating and adopting new tools that enhance performance and long-term scalability.
This is a Principal AI Software Engineer role at the heart of AI Engineering group-where algorithms, infrastructure, and products intersect. Youll lead the evolution and scaling of AI architecture, ensuring reliability, efficiency, and impact across global clinical workflows. The role combines technical depth with cross-functional influence, strengthening how our AI systems are built, integrated, and delivered to drive ongoing impact for patients and care teams.
Responsibilities:
Lead cross-domain engineering initiatives connecting AI algorithms (CV, NLP, and deep-learning systems), software, and data systems-from design to delivery.
Stay hands-on, contributing to AI-serving (training and inference), integration, and orchestration components while setting high technical standards.
Partner with Algo teams to connect algorithmic innovation with strong system design, ensuring smooth delivery across Product and Engineering.
Guide architectural evolution, ensuring efficiency, consistency, and maintainability across AI workflows.
Communicate direction and priorities clearly, aligning teams around technical goals.
Mentor engineers and promote technical excellence, sound design, and shared best practices.
Foster collaboration and shared ownership, helping maintain a culture that values clarity, curiosity, and technical excellence.
Uphold quality and reliability-including clean code, testing, and CI/CD discipline-while evaluating and adopting new tools that enhance performance and long-term scalability.
Requirements:
Masters or Ph.D. in Computer Science, Engineering, or a related technical field.
10+ years of software engineering experience with proven architectural depth and a strong hands-on approach.
Proven ability to drive technical direction, make architecture decisions, and align diverse stakeholders.
Strong understanding of AI/ML systems, including deep learning, computer vision, and NLP-able to design and support systems that integrate these models effectively.
Experience designing and building robust software architectures with a focus on scalability, reliability, and maintainability.
Proficiency in Python and modern software engineering practices (clean code, testing, CI/CD, observability, and performance optimization), along with experience using deep learning frameworks such as PyTorch and Tensorflow
Familiarity with cloud environments and MLOps practices, including containerization, orchestration, and model-serving frameworks.
Excellent collaboration and communication skills, with a mindset that combines engineering rigor, curiosity, and purpose.
Masters or Ph.D. in Computer Science, Engineering, or a related technical field.
10+ years of software engineering experience with proven architectural depth and a strong hands-on approach.
Proven ability to drive technical direction, make architecture decisions, and align diverse stakeholders.
Strong understanding of AI/ML systems, including deep learning, computer vision, and NLP-able to design and support systems that integrate these models effectively.
Experience designing and building robust software architectures with a focus on scalability, reliability, and maintainability.
Proficiency in Python and modern software engineering practices (clean code, testing, CI/CD, observability, and performance optimization), along with experience using deep learning frameworks such as PyTorch and Tensorflow
Familiarity with cloud environments and MLOps practices, including containerization, orchestration, and model-serving frameworks.
Excellent collaboration and communication skills, with a mindset that combines engineering rigor, curiosity, and purpose.
This position is open to all candidates.
