Job Description SummaryThe Senior Staff 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.
Job DescriptionRoles and Responsibilities
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 GE Healthcare AI group. As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
Additionally, you will be responsible for:
- Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.
- Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
- Exploring learning from human feedback and assisting humans evaluating AI.
- Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
- Working with large-scale datasets, designing, and developing generative algorithms.
- Staying current on published state-of-the-art algorithms and competing technologies.
Basic Qualifications
- Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.
- Publications as first author on LLM, Agentic AI or self supervised learning (SSL).
- Demonstrated expertise in building large scale AI such as generative AI models.
- Implementation experience with a variety of high-level languages (e.g. Python, C++)
- Experience with high-dimensional imaging data and waveform/time-series data.
Preferred Qualifications
- 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, etc.
- Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
- Experience working with large scale AI training.
- 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.
- In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
- Experience creating production environment data analytics and applications
Eligibility Requirements
- Must be willing to travel to attend meetings, workshops, conferences & etc.
- Must be willing to work out of an office located in Bellevue, WA.
About Team
GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), 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.
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 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.
