Applied ML Scientist — Digital Twins for Smarter Trials

Socket.dev; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Medical insurance

401k matching

Flexible PTO

Company holidays

Commuter benefits

Parental leave

Job summary

Unlearn in San Francisco seeks an Applied ML Scientist to develop state‑of‑the‑art models for disease progression and digital twins. You will adapt proprietary architectures to clinical data and clearly communicate results to stakeholders.

Join a team that values curiosity, ownership, and collaboration, with equity, full medical plans, and flexible benefits. This is a full‑time role based in SF.

Qualifications

• BS in CS, engineering, physics, mathematics, or related field.
• 2+ years building ML models and applying them to real-world problems.
• Solid fundamentals of software engineering.
• Proficiency in Python for ML and data science.
• Demonstrated ML project experience in academic or industry settings.
• A track record of intellectual curiosity and independent exploration.

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

Python

Machine learning

Software engineering

Data analysis

Communication

Education

B.S. in CS/engineering/physics/math

Job description

Unlearn in San Francisco seeks an Applied ML Scientist to develop state‑of‑the‑art models for disease progression and digital twins. You will adapt proprietary architectures to clinical data and clearly communicate results to stakeholders.

Join a team that values curiosity, ownership, and collaboration, with equity, full medical plans, and flexible benefits. This is a full‑time role based in SF.