Generative AI Engineer - Remote

Job Description

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Grow your career at Cedars-Sinai!

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The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems implementation is fueled through the alignment of the right people, processes, and technologies.

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Why work here?

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Cedars-Sinai placed in the top 20 on Newsweek’s “ World's Best Smart Hospitals 2024 ” list, which highlights hospitals that have excelled in the utilization of electronic functionalities, telemedicine, digital imaging, artificial intelligence and robotics.

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The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “ CHIME Digital Health Most Wired “ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

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What will you be doing in this role:

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The Generative AI Engineer will have experience in fine-tuning and training neural networks, with a focus on generative models. You will be responsible for developing, implementing, and optimizing AI models to solve sophisticated problems and improve our product offerings.

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  Design, build, and optimize generative neural network models using pioneering techniques.

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  Perform fine-tuning of pre-trained models to cater to specific tasks and improve performance.

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  Develop and implement robust training pipelines for AI models, ensuring scalability and efficiency.

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  Stay up-to-date with the latest advancements in generative AI and neural network technologies, and apply this knowledge to improve existing models.

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  Work closely with cross-functional teams including data scientists, software engineers, and product managers to integrate AI solutions into products.

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  Conduct meticulous testing and evaluation of models, ensuring that they meet quality and performance standards.

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  Maintain clear and comprehensive documentation of models, processes, and experimental results.

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Qualifications

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Experience Requirements:

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Two (2) plus years of experience in developing and training neural networks with an emphasis on fine-tuning foundational models, CNNs, and transformer models.

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Solid understanding of Python, app development paradigms and deep learning frameworks.

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Experience with Reinforcement Learning is a plus.

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Educational Requirements:

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Bachelor’s degree in Computer Science, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related discipline.

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Master’s degree preferred.

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#LI-Remote

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Req ID : 10932

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Working Title : Generative AI Engineer - Remote

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Department : CSMC 8480067 Advance Analytic Services

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Business Entity : Cedars-Sinai Medical Center

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Job Category : Information Technology

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Job Specialty : Bus Intelligence/Reporting

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Overtime Status : EXEMPT

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Primary Shift : Day

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Shift Duration : 8 hour

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Base Pay : $103,833.60 - $166,129.60

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Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.