Senior Applied Machine Learning Scientist

Unlearn • San Francisco, CA

110d

About The Position

Senior Applied ML Scientists lead Unlearn’s work to develop state-of-the-art ML approaches for generating Digital Twins – probabilistic models of a patient’s future health outcomes given knowledge of their current and past medical history. Senior Applied ML Scientists at Unlearn come from a wide range of disciplines, and have honed their ML expertise through their previous experience conducting novel and impactful research at top academic and industrial labs or their previous work delivering ML and data-science products in highly ambiguous and challenging commercial settings. Successful Applied ML Scientists at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. They are also highly determined individuals, powering through problems with cleverness and resolve.

Requirements

• M.S. in computer science or engineering, physics, mathematics, or a related field.
• 3-4+ years of experience developing machine learning models and adapting them to solve real-world problems.
• Previous experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning.
• Strong software engineering skills and collaborative software development.
• Fluency in the Python machine learning and data science ecosystem.
• Evidence of successful execution of ML projects in an industrial setting.
• Solid fundamentals in conceptual basics of ML architecture (linear algebra, statistics, optimization).

Nice To Haves

• Contributions to well-known open-source ML tools or frameworks.
• Prior experience working with healthcare or clinical machine learning applications.
• Familiarity with AWS cloud computing services.

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.

Benefits

• Generous equity participation
• 100% company-covered medical, dental, & vision insurance plans
• 401k plan with matching
• Flexible PTO plus company holidays
• Annual company-wide break December 24 through January 1
• Commuter benefits
• Paid Parental Leave
• Support for H1B, TN, and E-3 Visa change of employer transfers

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 51-100 employees