Sr AI Scientist

3 Apr 2024
Job Information

Organisation/Company

GE HealthCare

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Hungary

Application Deadline

2 May 2024 - 00:00 (UTC)

Type of Contract

To be defined

Job Status

Full-time

Hours Per Week

To be defined

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Job Description Summary
The Senior AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial
technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.
At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge - including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet.
Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.

Job Description

Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational. AI models to join the newly formed GE Healthcare AI group. As the Senior AI Scientist, you will focus on exciting generative vision, text, speech, time-series, and multi-modal problems related to segmentation, object detection, large-scale generative models, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.

Additionally, you will be responsible for:

• Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic, medical records, waveforms, and clinical reports.
• Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation.
• You will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization.
• Explore learning from human feedback and assisting humans evaluating AI.
• Build prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate.
• Stay current on published state-of-the-art algorithms and competing technologies.
• Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.
• Research and evaluate emerging technology, industry, and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.

Qualifications/Requirements:

• Demonstrated expertise in building large scale AI such as generative AI models, large vision/language models, and multimodal AI models for problems related to segmentation, detection, quantification, measurements, classification, etc.
• Demonstrated expertise in large-scale training, pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
• Strong implementation experience with a variety of high-level languages (e.g. Python) and frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with high-dimensional imaging data and waveform/time-series data.
• A desire to be hands-on and help invent the future of next-gen AI in Healthcare!

Preferred Qualifications:

• Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years AI development for industrial applications in a commercial setting OR
• Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years' experience in computer vision, machine learning, etc. Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.
• Publication record in top conferences (such as NeurIPS, CVPR, ICML, etc.)
• Skills to influence Cross functional teams within GE HealthCare
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Strong experience with various MLOps, ModelOps, FM Ops (foundation ModelOps) methods.
• Strong experience working with large scale AI training.

Eligibility Requirements:

• Legal authorization to work in Hungary (EU) is required.
• Must be willing to travel to attend meetings, workshops, conferences & etc.
• Must be willing to work out of an office located in Budapest, or Szeged Hungary

Note

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: No

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

GE HealthCare

Country

Hungary

Geofield

Where to apply

Website

https://illbeback.ai/job/sr-ai-scientist-7/?utm_source=euraxess

STATUS: EXPIRED