AI Research Intern

GE HealthCare

Posted 25 days ago

Internship

Bellevue, Washington

In Person

Smart Summary

The intern will design and develop novel machine learning algorithms, particularly in LLMs, to automate clinical tasks using medical images, EMRs, waveforms, and reports, while demonstrating algorithm accuracy through statistical analyses. Responsibilities also include building prototypes for high-performance AI algorithms and initiating/proposing unique deep learning capabilities for research publications.

We are seeking current Bachelor's or Master's students in computer science or related fields for an AI Research Internship. The ideal candidate should have experience in areas like machine learning, deep learning, or natural language understanding, along with proficiency in programming languages such as Python or Java and big data technologies like Spark/Hadoop.

Must Have Skills for ATS

Data Science

Artificial Intelligence

Machine Learning

Deep Learning

Vision Foundational Models

Large Language Models

Medical Imaging

Multi-modal Analysis

Clinical Efficiencies

Phenotyping

Responsible AI

Statistical Analyses

Algorithmic Development

Python

PyTorch

Tensorflow

Job Description

Job Description Summary

We're looking for data science students who are active in AI/ML areas and are passionate about developing next generation AI technologies that will have profound impact on medicine and healthcare. You will be working with top researchers and domain experts in the field of AI for health to develop new deep learning (e.g., vision foundational models, large language models) solutions and to prepare research publications for leading AI venues. During recent years, our researchers have published on leading AI venues including NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, EMNLP, ACL, etc. Our ambitious AI for medicine and healthcare research agenda include but are not limited to:

• Medical imaging foundation models across diverse imaging types, diseases, organs, etc.
• Multi-modal medical imaging analysis and report generation
• LLMs for clinical efficiencies
• Multimodal phenotyping for accurate disease diagnosis, subtyping, and progression modeling, as well as patient retrieval, trial matching, and health monitoring
• Responsible AI (e.g., interpretable models, trustworthiness, fairness, etc)

Job Description

Key Responsibilities:

Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports. Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation. Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code. Initiating/proposing unique and promising deep learning capabilities, developing new and innovative algorithms and technologies, pursuing patents and research publications where appropriate. Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities.

Basic Qualifications:

  • Currently enrolled in a Bachelor's or Master's degree in computer science or related areas
  • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization.
  • Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) 
  • In depth experience with one or more big data technologies like Spark/Hadoop and ML technologies like PyTorch/Tensorflow.
  • Experience creating production environment data analytics and applications.

At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of intelligent computing services across the cloud and. Sitting within the centralized Science & Technology organization, our AI org is harnessing the power of AI 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.

As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data, state of the art computing resources, and professional support from domain experts.

The pay rate for this position is $45-57hr.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

GE HealthCare

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE HealthCare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity and we work to create a world where healthcare has no limits.

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