Applied Machine Learning Scientist at Unlearn AI

San Francisco, California, United States

Apply Now

$140,000 – $165,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates must possess a Bachelor of Science degree in computer science, engineering, physics, mathematics, or a related field. A minimum of 2 years of experience in developing and adapting machine learning models for real-world problems is required, along with demonstrable software engineering fundamentals. Fluency in the Python machine learning and data science ecosystem and evidence of successful ML project execution in an academic or industrial setting are also necessary.

Responsibilities

The Applied Machine Learning Scientist will design and implement machine learning models to characterize and predict disease progression. They will apply and fine-tune proprietary architectures to real-world clinical data, clearly communicate technical findings to stakeholders, and stay updated on ML developments. Additionally, they will represent Unlearn to the broader scientific community.

Skills

Machine Learning

Generative AI

AI Forecasting

Clinical Trials

Software Development

Experimentation

Problem-Solving

Team Collaboration

Unlearn AI

Creates AI-driven digital twins for healthcare

About Unlearn AI

Unlearn.AI creates digital twins of patients using artificial intelligence, which are virtual replicas that simulate potential health outcomes. This technology allows healthcare providers to predict how a patient's health may change over time, leading to more informed treatment decisions. The primary clients include healthcare providers and pharmaceutical companies, who can use these digital twins in clinical trials to simulate control groups, potentially speeding up drug development and approval processes. Unlearn.AI differentiates itself by offering a unique simulation technology that reduces the need for actual human control groups, which can save time and resources. The company's goal is to enhance decision-making in patient care and drug development through precise health outcome predictions.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$127.1MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees