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GE Healthcare

GE Healthcare

Healthcare · Medical devices

HQ
Chicago, US
Founded
2004
Website
gehealthcare.com

GE Healthcare currently has 26 active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on agents, with application roles making up another 23%. The company is primarily hiring for Engineering positions, with 18 listings in this function, and is recruiting in India and the United States. Frequent technology tags include agent_orchestration, fine_tuning, and rag. Over the last 30 days, GE Healthcare has posted 20 new AI roles, an 82% increase compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 19 active AI roles, up 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $110k–$240k (avg $179k).

Hiring
19 / 26
Momentum (4w)
↑+25 +20%
147 opens last 4w · 122 prior 4w
Salary range · avg $179k
$110k–$240k
USD · disclosed roles only
Tracked since
Mar 3
last role 2w ago
Hiring velocityscroll left for older weeks
1 new role
Dec 22
1 new role
Jan 5
2 new roles
12
1 new role
26
1 new role
Feb 2
7 new roles
9
4 new roles
16
3 new roles
23
14 new roles
Mar 2
8 new roles
9
14 new roles
16
10 new roles
23
14 new roles
30
20 new roles
Apr 6
13 new roles
13
22 new roles
20
32 new roles
27
55 new roles
May 4
73 new roles
11
34 new roles
18
16 new roles
25
24 new roles
Jun 1

Frequently asked questions

  • What AI roles is GE Healthcare hiring for?

    GE Healthcare currently has 28 active AI-related roles in our index. The most common open titles are: AI Scientist (2), Principal AI Architect (2), Staff AI Scientist (2), AI Algorithm and Development Software Engineer, AI Regulatory Engineer. Most positions are in Engineering and Research.

  • What stage of AI development does GE Healthcare focus on?

    GE Healthcare's active AI hiring is concentrated in: agents (46%), application (21%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is GE Healthcare hiring AI talent?

    GE Healthcare is hiring AI talent in: India (11 roles), United States (6 roles), China (5 roles), Israel (2 roles).

  • What technologies does GE Healthcare's AI team work with?

    Job postings at GE Healthcare most frequently reference: fine tuning, agent orchestration, model serving, rag, multimodal.

  • How many AI roles has GE Healthcare posted recently?

    In the past 30 days, GE Healthcare has posted 18 new AI-related roles.

Jobs (2)

19 AI · 207 total active
FilteredStagePretrain×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 5Pretrain · 2Post-train · 4Serve · 4Agent · 18Ship · 10
Function
AllEngineering · 230Product · 49Research · 13
Country
AllIndia · 105United States · 99China · 55France · 17Hungary · 15Israel · 13Japan · 13Norway · 11Austria · 7Finland · 7Germany · 5Sweden · 5United Kingdom · 5Poland · 4Australia · 3Denmark · 3Ireland · 3Netherlands · 3South Korea · 3Mexico · 2Saudi Arabia · 2Singapore · 2Spain · 2Brazil · 1Italy · 1Philippines · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI Scientist
AI Scientist at GE Healthcare focused on foundational AI models, generative AI, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, and quantization for healthcare applications. The role involves developing and implementing novel ML algorithms for LLMs to automate clinical tasks using EMR, waveforms, and clinical reports, demonstrating algorithms, exploring human feedback, building prototypes, and working with large-scale datasets. Requires a Master's or PhD with relevant research experience, publications in LLM/Agentic AI/SSL, and expertise in building large-scale generative AI models.
PretrainPost-trainResearchBellevue, WA +22w ago9
AI Scientist
GE Healthcare is seeking a Senior Staff AI Scientist to work on foundational AI models, focusing on generative AI problems like large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, and quantization. The role involves developing and implementing novel machine learning algorithms for LLMs to automate clinical tasks using EMR, waveforms, and clinical reports, demonstrating algorithms, exploring human feedback, building prototypes, and working with large-scale datasets. Requires a Master's or Ph.D. in a STEM field with relevant research experience, publications as first author on LLM, Agentic AI, or SSL, and demonstrated expertise in building large-scale AI models.
PretrainPost-train
Research
Bellevue, WA +2
3w ago
9