AI Scientist

About the role

The 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.

Responsibilities

• Focus on exciting generative AI problems, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
• Develop and implement 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.
• Demonstrate algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
• Explore learning from human feedback and assist humans evaluating AI.
• Build prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Work with large-scale datasets, design, and develop generative algorithms.
• Stay current on published state-of-the-art algorithms and competing technologies.

Requirements

• 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.

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.

Skills

• 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.

Benefits

• Work/Life Balance
• Mentorship & Career Growth

Pay

$160,080.00 - $240,120.00 Annual.

Schedule

Not specified.