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Healthcare AI Solutions Engineer
2 months 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 multi-modal foundation models. This role is essential in advancing research efforts, utilizing cutting-edge AI technologies to develop predictive models tailored for medical use.
Key Responsibilities:
- Drive the development of medical applications and explore their scalability to other sectors.
- Utilize multimodal foundation models to integrate diverse data inputs such as imaging, clinical notes, and vital signs for medical predictions.
- Engage with large language models specifically within the healthcare context.
- Generate and refine models applicable to clinical settings, 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 AI training in healthcare.
- Programming Proficiency: High-level skills in Python and C/C++ for model implementation and optimization.
- Deep Learning Frameworks: Solid experience with PyTorch and familiarity with NLP libraries for deep learning model development.
- Model Efficiency: Knowledge of model compression techniques and experience in large-scale distributed training.
- Research Contributions: A track record of publications in leading conferences and active participation in machine learning communities.
- Innovative Problem Solving: Ability to tackle complex challenges in computer science and adapt to the latest AI methodologies for healthcare.
- Domain-Specific AI Development: Experience in creating AI models specifically for clinical applications, showcasing a thorough understanding of medical contexts.
- Technical Skills: Familiarity with CUDA programming, imaging processing libraries, and vector databases for managing medical data.
- Advanced AI Knowledge: Understanding of advanced AI concepts such as parameter-efficient tuning and reinforcement learning.
Compensation and Benefits:
The salary range for this full-time position is competitive and reflective of the role's responsibilities and candidate qualifications.
- Comprehensive medical and dental coverage options.
- Attractive 401(k) plan with contributions.
- Engaging company events and regular team lunches.
- Wellness initiatives including access to nutritionists and fitness trainers.
- Commitment to corporate social responsibility.
CliniComp is dedicated to fostering an inclusive workplace and considers reasonable accommodations for eligible applicants. EEO/AA/M/F/Veteran/Disabled.
