Distinguished AI Engineer

Job Description SummaryAs a Distinguished AI Engineer in GE Healthcare’s AI organization, you will be responsible for leading technical strategy across multiple teams to define, develop, deliver, and execute on our science roadmap and vision around foundation models and Generative AI leveraging large-scale multi-modal healthcare data sets. You will be responsible for delivering some of our most strategic technical initiatives while providing thought leadership to scientists and engineers to invent and implement large language and vision models.
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, computer vision, multi-modal learning, 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 and robotics, we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits. To find out more, visit: https://jobs.gecareers.com/science-technology

Job Description

Roles and Responsibilities:

As a Distinguished AI Engineer, 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, agentic AI, responsible AI, quantization, robotics, etc. You will play a critical role in advancing AI capabilities within our products, leading projects, and mentoring junior engineers.

Additionally, you will be responsible for:

• Leading the design and implementation of advanced machine learning models, with a particular emphasis on Large Language and Vision Models, to automate and enhance clinical tasks utilizing diverse data sets like medical images, electronic health records, patient waveforms, and clinical reports.
• Driving strategy and defining best practices for the Generative AI team.
• Ensuring the precision and applicability of algorithms across varied patient groups through comprehensive statistical analysis and error estimation.
• Spearheading the development and refinement of prototypes, overseeing their evolution into scalable, efficient, and production-ready software.
• Maintaining and expanding your expertise in the latest AI technologies and algorithms, driving innovation within the team.
• Facilitating the development of versatile software and data infrastructures, emphasizing reusability, scalability, and integration across various teams and projects.
• Guiding the technical direction and decisions to deliver a solution that meets GE HealthCare high standards for customer satisfaction, efficiency, stability, extensibility, simplicity, and operational excellence

Minimum Qualifications:

• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 7 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 5 years AI development for industrial applications in a commercial setting.
• Deep expertise in a specialized area of computer science such as Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, or Algorithmic Optimization, coupled with strong software development skills.
• Demonstrated experience in leading the deployment of applications to production environments, adhering to the highest standards of operational excellence.
• Expertise in managing large-scale data processing, advanced AI model training techniques, prompt tuning, model distillation, enhancing robustness, and model quantization.
• Experience with various MLOps, ModelOps, FMOps (foundation modelOps) methods.
• Experience working with large scale AI training.
• Excellent communication and interpersonal skills with the ability to build strong relationships with stakeholders.

Preferred Qualifications:

• Publication record in top conferences (such as NeurIPS, CVPR, ICML, etc.).
• Experience with complex, noisy medical datasets and the unique challenges they present.
• Skills to influence Cross functional teams within GE HealthCare.
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• A desire to be hands-on and help invent the future of next-gen AI in Healthcare!

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.
• Must be willing to travel to attend meetings, workshops, conferences & etc.
• Must be willing to work out of an office located in Bellevue, WA.

GE 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.

GE 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).

Relocation Assistance Provided: Yes

For U.S. based positions only, the pay range for this position is $200,000.00-$300,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

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.