Sr. Ai Engineer, Device Intelligence

Danaher

Washington DC, United States
Base: $150k-$170k; bonus/incentive pyy: eligible; ...
Fully remote
Agentic systems, llms, and/or multimodal ai
Convolutional neural networks, foundation models, vector databases
Ai evaluation methods, rag approaches, agentic frameworks
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. 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/Incentive pay: eligible; Benefits: comprehensive package including PTO, medical/dental/vision, 401(k)

Skills & Requirements

Must-have

  • Agentic Systems, LLMs, and/or 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
  • 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, RAG, agentic frameworks
  • Proven track record of successful end-to-end AI projects in imaging applications
  • Experience with cloud platforms (AWS, Google Cloud, Azure)
  • Familiarity with hardware acceleration technologies (TPUs, GPUs, ARM-CPUs)

Work Rights

Not specified

Tailored Resume

Cover Letter