Base: $150k-$170k; bonus/equity: eligible for bonu...
Fully remote
Agentic systems, llms, multimodal ai
Convolutional neural networks
Foundation models
This new role is instrumental in the implementation of cutting-edge AI systems that leverage data created by Danaher devices to extract meaningful insights and dramatically improve user experience
Job Summary
This new role is instrumental in the implementation of cutting-edge AI systems that leverage data created by Danaher devices to extract meaningful insights and dramatically improve user experience.
Design and implement advanced AI systems, including next-generation agentic workflows, LLMs and computer vision technologies, to enhance instrument automation and uplevel user capabilities.
The annual salary range for this role is $150K-$170K and this job is also eligible for bonus/incentive pay.
Matching Summary
This new role is instrumental in the implementation of cutting-edge AI systems that leverage data created by Danaher devices to extract meaningful insights and dramatically improve user experience.
Salary
Base: $150K-$170K; Bonus/Equity: Eligible for bonus/incentive pay; Benefits: Comprehensive package including paid time off, medical/dental/vision insurance and 401(k)
Skills & Requirements
Must-have
Agentic Systems, LLMs, Multimodal AI
convolutional neural networks
foundation models
vector databases
AI evaluation methods
RAG approaches
agentic frameworks
Python or C++ programming
TensorFlow, PyTorch, OpenCV
Docker, Kubernetes
Nice-to-have
continuous improvement culture
belonging and unique viewpoint
regulatory processes for medical devices
quality management systems
instrument control mechanisms
Key Requirements
Bachelor's degree in computer science, electrical engineering, life sciences or related field
Advanced degree (MS or PhD) preferred
Long standing experience in Life Science, Diagnostics, Biotechnology or Tech Industry
Multiple years of experience with Agentic Systems, LLMs, and/or Multimodal AI
Demonstrable expertise with at least 3 of the following: CNNs, foundation models, vector databases, AI evaluation methods, RAG, agentic frameworks
Proven track record of successful end-to-end AI project implementation in imaging
Experience with cloud platforms (AWS, Google Cloud, Azure)
Familiarity with hardware acceleration technologies (TPUs, GPUs, ARM-CPUs)