Principal Engineer - Artificial Intelligence (Remote)

Job Description Summary As the Design For Service (DFS) AI Principal Engineer within Global Services at GE HealthCare, you will lead DFS AI workstream for the service franchise. You will collaborate with AI scientists, product managers, solution architects, and system designers to deliver innovative features that improve outcomes for customers. In this role, you will drive standards and contribute to defining and developing modern ML/DL methods to uncover patterns within extensive machine data sets. Lead the development of cutting-edge generative models & AI strategies for GE HealthCare, emphasizing on-device solutions and drive innovation in pretraining & prompt tuning methodologies, fostering synergy across SBUs for business expansion. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Roles and Responsibilities As a Principal Engineer in Global Services team, you will provide leadership on enabling data science and machine learning capabilities in Design For Service (DFS) enabling precision diagnostics Lead the technical discussions that facilitate the integration of artificial intelligence capabilities across the service portfolio. Lead the model development lifecycle including model design, experiment, evaluation, prototyping, and production. Analyze data sources, analytics, and machine learning models, including Large Language Models (LLMs) to map them to feature sets. Contributing 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. Develop an architecture roadmap and implementation strategy tailored to meet business and customer needs. Provide guidance to teams during the implementation phase. Teaches, coaches, and mentors less experienced engineers and/or scientists Oversee the integration and operationalization of solutions with a customer-centric approach. Collaborate with GEHC AI team to adopt best practices and shared models. Stay abreast of technology trends to ensure alignment of architecture and design with emerging opportunities. Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities. Demonstrate technical and/or scientific thought leadership within and outside of GE Work with internal and external organizations (GRC, academics, vendors, etc.) to develop technical and/or scientific differentiation for the future Guide multi-generational technology and/or scientific strategies based on understanding of the market, customer needs, competitors, and regulatory requirements/standards Lead the intellectual property strategy for a technology or scientific function or product area based on understanding of GE and competitive technologies Oversee standardization, technical design reviews and quality culture Additionally, you will be responsible for: Developing and implementing novel machine learning algorithms, particularly in the area of LLMs, to provide automation of tasks using one or more data sources such as machine logs, usage, telemetry data Working with large-scale datasets, designing, and developing generative algorithms. Required Qualifications Master’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math). 10 years of technical experience along with established leadership credentials across disciplines and functions. 5 full-time experience in enterprise software architecture - emphasis on implementation of scalable technical solutions in products. Hands on experience in AI & Generative AI development for commercial applications. Implementation experience with a variety of high-level languages (e.g. Python, Java/C/C ) Experience creating production environment data analytics and applications Experience with time-series data. Desired Characteristics PhD with 5 years' experience in building large scale AI such as generative AI models, large vision/language models, and multi-modal AI models Strong analytical and problem solving skills. Experience and demonstrated capability to handle challenges with vague or abstract problem definition. Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, Langchain, AWS sagemaker, AWS Bedrock, Lambda Index etc. In depth experience with Spark/Hadoop and either PyTorch or TensorFlow An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.) Track record in developing machine learning solutions using massive real-world data for solving real world business problems. Desire to continuously learn, grow, develop new skillsets, and work with new technologies. Strong oral and written communication skills. Strong interpersonal and leadership skills. 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. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. 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 the greater Chicago/Milwaukee Area. About Team GE Healthcare Global Service teams are based in the US (Waukesha, WI), China (Beijing), and India (Bangalore). This gives us several core overlap hours for shared meetings. Work/Life Balance Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don’t focus on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. 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. 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 HealthCare is an Equal Opportunities 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. 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. 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: Yes At GE HealthCare, 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.