Senior Applied Machine Learning Scientist at Unlearn AI

San Francisco, California, United States

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$170,000 – $210,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

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 Python (inferred from context)

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

Skills

Machine Learning

Generative AI

Digital Twins

Clinical Trials

Patient Outcome Forecasting

AI Modeling

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

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Paid Holidays

Commuter Benefits

Paid Parental Leave

Company Equity

Risks

Over-reliance on AI data may lead to inaccuracies in trial outcomes.

Increased competition from companies like Consilx and Aicure could impact market share.

High clinical trial failure rates could affect perception of Unlearn AI's effectiveness.

Differentiation

Unlearn AI's TwinRCT uses digital twins to enhance clinical trial precision.

The company offers TrialPioneer, a free tool for innovative trial design exploration.

Unlearn AI's digital twin technology reduces the need for human control groups.

Upsides

AI in clinical trials market expected to reach $2.74 billion by 2030.

Partnership with ProJenX highlights AI's potential in specific therapeutic areas.

TwinRCT 3.0 enhances decision-making in Phase II trials for better outcomes.

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