At first glance, you'll see Danaher's scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms-life sciences, diagnostics, and biotechnology.
Look again and you'll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You'll find associates who are as certain about their impact as they are about where they're headed next.
You'll find the Danaher Business System, which makes everything possible. You'll also see a company that investors trust-our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.
The Sr. AI Engineer/Scientist, Image Intelligence at Danaher Corporation will be a key member of the AI Product and Imaging Innovation team, reporting to its Sr Director. This role will be instrumental in developing and implementing cutting-edge AI systems that extract meaningful information from images, with the goal of upleveling Danaher's imaging devices across Life Sciences and Diagnostics sectors. This position is remote.
In this role, you will have the opportunity to:
Collaborate with the Sr Director to develop AI-driven product improvements and new products for Danaher devices, with an initial focus on imaging devices and the aim of extracting more valuable insights for customers in Life Sciences and Diagnostics. Design and implement advanced AI systems, including next-generation computer vision technologies, to enhance instrument automation and uplevel user capabilities. Work closely with cross-functional teams to translate product concepts into concrete AI architectures, ensuring alignment with product success criteria and measurable KPIs. Lead the technical implementation of AI projects of notable complexity, involving multiple functions and typically spanning multi-quarter timelines. Drive innovation in the AI software stack, focusing on maximizing value extraction from imaging instruments for customers through advanced computer vision and machine learning techniques and collaborate with business stakeholders, technical experts, and subject matter experts to build comprehensive AI roadmaps for imaging products across various verticals. The essential requirements of the job include: Bachelor's degree in computer science, electrical engineering, life sciences or a related field. Advanced degree (MS or PhD) in a relevant area (e.g., Computer Vision, Machine Learning, Computational Imaging or Life Sciences) is preferred. 10+ years of relevant experience in the Life Science, Diagnostic, or Tech Industry, including 5+ years of experience in AI/ML roles with a focus on computer vision and image processing. Proven track record of successful end-to-end implementation of AI projects in imaging applications, particularly in life sciences or healthcare domains and deep expertise in machine learning and computer vision, including proficiency with established technologies such as convolutional neural networks and emerging technologies like foundation models and vision transformers. Strong programming skills in languages such as Python or C++, and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and containerization technologies (e.g., Docker, Kubernetes). Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for large-scale image processing and familiarity with hardware acceleration technologies (e.g. TPUs, GPUs, ARM-CPUs). Demonstrated ability to work effectively with cross-functional teams, communicate complex technical concepts to both technical and non-technical stakeholders, and align AI development with product goals and roadmaps. It would be a plus if you also possess previous experience in: Experience with regulatory processes, especially for medical devices and AI/ML-based software as a medical device (SaMD). Familiarity with quality management systems and standards relevant to the life sciences and diagnostics industries. Knowledge of multi-modal AI in domains involving text, image and other data types and knowledge of instrument control mechanisms and how they integrate with AI systems for enhanced automation. At Danaher we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
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Look again and you'll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You'll find associates who are as certain about their impact as they are about where they're headed next.
You'll find the Danaher Business System, which makes everything possible. You'll also see a company that investors trust-our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.
The Sr. AI Engineer/Scientist, Image Intelligence at Danaher Corporation will be a key member of the AI Product and Imaging Innovation team, reporting to its Sr Director. This role will be instrumental in developing and implementing cutting-edge AI systems that extract meaningful information from images, with the goal of upleveling Danaher's imaging devices across Life Sciences and Diagnostics sectors. This position is remote.
In this role, you will have the opportunity to:
Collaborate with the Sr Director to develop AI-driven product improvements and new products for Danaher devices, with an initial focus on imaging devices and the aim of extracting more valuable insights for customers in Life Sciences and Diagnostics. Design and implement advanced AI systems, including next-generation computer vision technologies, to enhance instrument automation and uplevel user capabilities. Work closely with cross-functional teams to translate product concepts into concrete AI architectures, ensuring alignment with product success criteria and measurable KPIs. Lead the technical implementation of AI projects of notable complexity, involving multiple functions and typically spanning multi-quarter timelines. Drive innovation in the AI software stack, focusing on maximizing value extraction from imaging instruments for customers through advanced computer vision and machine learning techniques and collaborate with business stakeholders, technical experts, and subject matter experts to build comprehensive AI roadmaps for imaging products across various verticals. The essential requirements of the job include: Bachelor's degree in computer science, electrical engineering, life sciences or a related field. Advanced degree (MS or PhD) in a relevant area (e.g., Computer Vision, Machine Learning, Computational Imaging or Life Sciences) is preferred. 10+ years of relevant experience in the Life Science, Diagnostic, or Tech Industry, including 5+ years of experience in AI/ML roles with a focus on computer vision and image processing. Proven track record of successful end-to-end implementation of AI projects in imaging applications, particularly in life sciences or healthcare domains and deep expertise in machine learning and computer vision, including proficiency with established technologies such as convolutional neural networks and emerging technologies like foundation models and vision transformers. Strong programming skills in languages such as Python or C++, and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and containerization technologies (e.g., Docker, Kubernetes). Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for large-scale image processing and familiarity with hardware acceleration technologies (e.g. TPUs, GPUs, ARM-CPUs). Demonstrated ability to work effectively with cross-functional teams, communicate complex technical concepts to both technical and non-technical stakeholders, and align AI development with product goals and roadmaps. It would be a plus if you also possess previous experience in: Experience with regulatory processes, especially for medical devices and AI/ML-based software as a medical device (SaMD). Familiarity with quality management systems and standards relevant to the life sciences and diagnostics industries. Knowledge of multi-modal AI in domains involving text, image and other data types and knowledge of instrument control mechanisms and how they integrate with AI systems for enhanced automation. At Danaher we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
#J-18808-Ljbffr
