Applied ML Scientist — AI for Digital Twin Clinical Trials

Unlearn.AI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Meaningful equity participation

100% company-covered medical, dental,&

401k plan with matching

Flexible PTO

Annual company break

Commuter benefits

Paid Parental Leave

Job summary

Unlearn, a San Francisco-based company, is seeking Applied ML Scientists to design and implement models predicting disease progression from clinical data. You will apply proprietary architectures to real-world datasets and clearly communicate findings to stakeholders.

Qualifications include a B.S. in a related field, 2+ years of ML experience, and strong Python skills, with a track record of independent, curiosity-driven research in academic or industry settings.

Qualifications

• 2+ years of experience developing machine learning models and adapting them to solve real-world problems.
• Fluency in the Python machine learning and data science ecosystem.
• Demonstrable competency in the fundamentals of software engineering.
• Evidence of successful execution of ML projects in an academic or industrial setting.
• A track record of intellectual curiosity and independent exploration of new techniques.

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 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.

Skills

ML experience

Python

Software engineering

ML projects

Intellectual curiosity

Education

B.S. in CS/Engineering/Math

Tools

AWS

Job description

Unlearn, a San Francisco-based company, is seeking Applied ML Scientists to design and implement models predicting disease progression from clinical data. You will apply proprietary architectures to real-world datasets and clearly communicate findings to stakeholders.

Qualifications include a B.S. in a related field, 2+ years of ML experience, and strong Python skills, with a track record of independent, curiosity-driven research in academic or industry settings.