Healthcare AI Solutions Engineer
2 weeks ago
As a pivotal member of CliniComp, the Healthcare AI Solutions Engineer will spearhead innovative projects in the realm of healthcare artificial intelligence, concentrating on large language models (LLM) and image-based multimodal foundation models. This role is essential in advancing research and utilizing cutting-edge AI technologies to develop predictive models tailored for medical applications.
Key Responsibilities:
- Drive the development of medical applications and explore their scalability across various domains.
- Leverage multimodal foundation models to integrate diverse inputs such as imaging, clinical notes, and vital signs for enhanced medical predictions.
- Utilize experience with large language models (LLM) specifically within the healthcare sector.
- Generate and refine models applicable to clinical fields, while documenting areas for enhancement.
Qualifications:
- Education: PhD in Computer Science, Computer Engineering, or a related field.
- Experience: Minimum of 2 years in a relevant industry role.
- Expertise in Multimodal AI: Proven ability to design and optimize models that process various data types (LLM, imaging, clinical notes) using advanced AI architectures.
- Data Management: Strong background in preparing and curating multimodal datasets specifically for healthcare AI training.
- Programming Proficiency: High-level skills in Python and C/C++ for developing and enhancing AI algorithms.
- Deep Learning Frameworks: Extensive experience with PyTorch and familiarity with NLP libraries for building and training models.
- Model Optimization: Knowledge of model compression techniques and experience in large-scale distributed training.
- Research Contributions: A solid publication record in esteemed conferences and active participation in machine learning communities.
- Innovative Mindset: Ability to tackle complex computer science challenges and adapt to the latest AI methodologies for healthcare applications.
- Domain-Specific Applications: Experience in developing AI models tailored for clinical environments, showcasing a deep understanding of medical use cases.
- Technical Skills: Familiarity with CUDA programming, imaging processing libraries, and vector databases for efficient medical data handling.
- Advanced AI Knowledge: Understanding of advanced AI concepts such as parameter-efficient tuning and reinforcement learning is a plus.
Compensation and Benefits:
The salary range for this full-time position is competitive and reflects the expertise and experience of the candidate.
- Comprehensive medical and dental coverage options.
- Attractive 401(k) plan with company contributions.
- Engaging team events and regular lunches.
- Wellness initiatives including access to nutritionists and fitness trainers.
- Commitment to corporate social responsibility.
CliniComp is dedicated to creating an inclusive environment and considers reasonable accommodations for eligible applicants. We are an equal opportunity employer.
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