AI Engineer Intern

Remote

GE HealthCare

GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients

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Job Description SummaryWe're looking for PhD or MS 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, AI scientists, AI engineers and domain experts in the field of AI for health to develop new deep learning (e.g., vision foundational models, large language model) 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.
- Multimodal 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)
- Multimodal EMR generation

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 engineer 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.

Job Description

Internship Highlights:

  • Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.
  • Participate in ensuring the accuracy and effectiveness of algorithms across varied patient demographics, involving statistical analysis and error assessment.
  • Help build and refine prototypes, gaining insights into transforming them into scalable, efficient code for real-world applications.
  • Stay up-to-date with the latest trends and advancements in AI algorithms and technologies.
  • Contribute to the development of adaptable software and data systems, which emphasize modular components for use across various teams and projects.

Basic Qualifications:

  • Currently pursuing or recently completed a graduate degree in Computer Science, Engineering, or a related field, with a keen interest in machine learning and AI.
  • Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning.
  • Basic knowledge of programming in languages like Python, Java, C/C++, etc.
  • Eagerness to learn about deploying applications in production environments and understanding operational best practices.
  • An interest in working with complex, real-world medical and patient data.
  • Curiosity and a willingness to learn about large-scale data processing, AI model training, and related techniques.

Kickstart Your Career:

Join GE Healthcare as an AI Engineer Intern and be part of a team that's not just talking about the future of healthcare – you'll be actively building it. This internship is your gateway to a world of AI innovation and a stellar start to your career in machine learning.

Eligibility Requirements
  • Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
  • While GEHC does not currently require U.S. employees to be vaccinated against COVID-19, some GEHC customers have vaccination mandates that may apply to certain GEHC employees.

About Team

GE Healthcare teams are based in the US (San Ramon, Seattle), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.

Mentorship & Career Growth

We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.

The pay rate for this position is $45-60/hr.

Inclusive Team Culture

Here at GEHC, we embrace our differences. We are committed to furthering our culture of inclusion. We have many employee-led affinity groups, innovative benefit offerings, and encourage ongoing learning experiences. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

About Us

At GE HealthCare (NASDAQ: GEHC), we see possibilities through innovation. We’re partnering with our customers to fulfill healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE 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.

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

Application Deadline: December 18, 2024
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Tags: Computer Science Computer Vision Deep Learning EMNLP Engineering ICLR ICML Java LLMs Machine Learning ML models Model training NeurIPS NLP PhD Python Research Responsible AI Statistics

Perks/benefits: Career development Competitive pay Startup environment

Region: Remote/Anywhere

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