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Job Summary:
Unlearn.AI is a technology company focused on advancing artificial intelligence to transform medicine. The Applied Machine Learning Scientist will lead the development of machine learning approaches for generating digital twins, utilizing their expertise to create probabilistic models of patient health outcomes.
Responsibilities:
• Design and implement machine learning models to characterize and predict disease progression.
• Apply and fine-tune proprietary architectures to real-world clinical data.
• Clearly communicate technical findings and results to internal and external stakeholders.
• Stay up to date with developments in the ML field to inform Unlearn’s modeling work.
• Represent Unlearn to the broader scientific community.
Qualifications:
Required:
• B.S. in computer science or engineering, physics, mathematics, or a related field.
• 2+ years of experience developing machine learning models and adapting them to solve real-world problems.
• Demonstrable competency in the fundamentals of software engineering.
• Fluency in the Python machine learning and data science ecosystem.
• Evidence of successful execution of ML projects in an academic or industrial setting.
• A track record of intellectual curiosity - e.g., exploring new techniques, tools, or ideas independently.
Preferred:
• Contributions to well-known open-source ML tools or frameworks.
• Previous experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning.
• Prior experience working with healthcare or clinical machine learning applications.
• Familiarity with AWS cloud computing services.
Company:
Unlearn.AI combines AI, digital twins, and novel statistical methods to enable smaller, more efficient clinical trials. Founded in 2017, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Unlearn.AI has a track record of offering H1B sponsorships.
