The organization is looking to transform healthcare with artificial intelligence by developing AI-driven solutions that revolutionize radiology, save time, reduce burnout, and improve patient care. They aim to empower physicians with cutting-edge AI and address intricate clinical challenges.
Requirements
- Experience developing and testing NLP models (Summarization, Question Answering, ASR) in a commercial or academic setting
- Experience applying ML solutions to real world problems
- Experience with deep learning frameworks (e.g. PyTorch), common NLP frameworks such as HuggingFace, and open source foundation models like Mistral, Llama and Whisper
- Experience with LLMs in production systems
- Extensive programming experience, with a focus on Python
- Experience working with AWS, GCP or similar
- Experience working in a HIPAA compliant environment
Responsibilities
- Develop Advanced Deep Learning Models: Harness the power of deep learning to create sophisticated models capable of performing a range of recognition and generative tasks, specifically tailored to the nuances of clinical data.
- Innovate in Clinical Problem-Solving: Apply your expertise to solve intricate clinical challenges, contributing directly to real-world healthcare advancements.
- Collaborative Solution Development: Engage actively with both technical peers and clinical experts to innovate and refine solutions that have a tangible impact in the field of healthcare.
- Architect Interdisciplinary Solutions: Play a pivotal role in designing solutions that bridge multiple disciplines. Determine the optimal integration points for machine learning in these solutions and conduct objective evaluations of competing methodologies.
- Research Integration and Experimentation: Stay at the forefront of machine learning advancements by reviewing academic papers, designing experiments, and integrating cutting-edge research into the platform.
- Mentorship and Collaboration Opportunities: Contribute to the growth of a dynamic Machine Learning Team through mentorship roles and collaborate with an esteemed in-house team of leading clinicians.
Other
- Masters (PhD preferred) in Computer Science or related field, or equivalent experience
- At least 4 post-educational working years of experience
- MD or PhD in biomedical or related field, or equivalent experience
- Experience working at an early stage startup
- Have successfully published in NLP
