AI/ML Engineer, Neuroclinical AI

Siemens Healthineers

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Princeton, NJ
Salary
$128,700–$176,957 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $153k
$113k most similar roles pay here $279k

This role pays less than 88% of similar roles. Most pay $176,062–$241,750 — the shaded band above. At the midpoint, this role pays about $153k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Siemens Healthineers

Siemens Healthineers is a leading global medical technology company, headquartered in Germany, that provides imaging, diagnostics, and artificial intelligence-driven solutions to healthcare providers.

Siemens Healthineers currently has 35 open roles on FindRole.

Listed pay typically runs $119,920–$164,890 across 35 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer, Neuroclinical AI

AI/ML Engineer - Neuroclinical AI As an AI/ML Engineer on the Neuroclinical AI team, you will develop algorithms and models to power image-guided neurovascular interventions, specifically for treating acute ischemic stroke and intracranial aneurysms. You will build tools for real-time detection and tracking of interventional devices in fluoroscopy sequences, create 2D/3D fusion and registration methods for medical imaging, and develop foundation models distilled into efficient versions for clinical hardware. Your work involves building digital twins and simulators for synthetic data generation and training navigation agents. To succeed, you must possess expertise in Python, PyTorch, or TensorFlow, along with experience in computer vision, medical imaging, and potentially reinforcement learning. You will translate complex clinical requirements into technical specifications while performing rigorous validation of model accuracy and latency within a regulated medical device environment to solve critical neurointerventional challenges.

What you'll do

  • Develop AI algorithms for real-time detection and tracking of interventional devices in live fluoroscopy and angiography sequences.
  • Create 2D/3D fusion and registration methods to integrate pre-procedural imaging with live intra-procedural views.
  • Build and distill foundation models into compact, efficient versions that meet real-time latency requirements on clinical hardware.
  • Develop interventional digital twins and simulators for synthetic data generation and training navigation agents.
  • Translate clinical workflow requirements into specific data, annotation, and model performance specifications.
  • Perform validation and statistical evaluation of AI algorithms regarding accuracy, robustness, and latency in medical environments.
  • Coordinate the full project lifecycle including data collection, annotation, model development, and validation across multiple projects.
  • Contribute to intellectual property generation and peer-reviewed research in collaboration with clinical and technical stakeholders.

What we're looking for

  • MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, or a related field.
  • 2–5 years of experience in AI/ML development in industry or academia.
  • Hands-on experience with Python, PyTorch, or TensorFlow.
  • Experience developing and validating machine learning models for medical imaging or computer vision applications.
  • Ability to communicate technical concepts clearly to both technical and clinical audiences.
  • Experience with X-ray fluoroscopy, angiography, or cone-beam CT imaging (preferred).
  • Experience with real-time object detection, segmentation, tracking, 2D/3D registration, or multimodal image fusion (preferred).
  • Export Control: “A successful candidate.

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