Remote Senior AI Engineer – Imaging & Lab Automation

Danaher

Washington (District of Columbia)

On-site

USD 135,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Remote work eligible
Bonus/incentive pay
Medical/Dental/Vision insurance
401(k) plan

Job summary

Danaher in the United States seeks a Sr. AI Engineer, Device Intelligence to lead and implement enterprise-grade AI solutions across life sciences devices.

You will design multi-domain agentic AI systems, mentor teams, and align roadmaps with product goals to enhance instrument intelligence and lab automation. You will collaborate with VP-level stakeholders and cross-functional teams, driving AI architectures, evaluating KPIs, and delivering end-to-end projects on multi-quarter timelines while

Qualifications

  • Bachelor’s degree in a relevant field; advanced degree preferred.
  • Experience with Agentic AI, LLMs, automation, robotics, and multimodal AI.
  • Proven end-to-end AI project delivery in imaging/healthcare domains.

Responsibilities

  • Design and implement enterprise-grade AI systems for instrument intelligence.
  • Collaborate with cross-functional teams to translate concepts into AI architectures.
  • Lead implementation of AI projects spanning multi-quarter timelines.
  • Drive AI roadmaps and align development with product KPIs.
  • Advance AI software stacks and leverage cloud and hardware acceleration.

Skills

Python
C++
LLMs
Agentic AI
Computer Vision
Multimodal AI

Education

Bachelor's degree in CS/EE/robotics/automation/life sciences
MS/PhD in Neural Networks/Foundation Model/Agentic Workflows/ML/Computer Vision/Robotics (preferred)

Tools

Docker
Kubernetes
TensorFlow
PyTorch
OpenCV
AWS
Azure
GCP

Job description

Danaher in the United States seeks a Sr. AI Engineer, Device Intelligence to lead and implement enterprise-grade AI solutions across life sciences devices.

You will design multi-domain agentic AI systems, mentor teams, and align roadmaps with product goals to enhance instrument intelligence and lab automation. You will collaborate with VP-level stakeholders and cross-functional teams, driving AI architectures, evaluating KPIs, and delivering end-to-end projects on multi-quarter timelines while

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