Applied Machine Learning Scientist at Unlearn AI

San Francisco, California, United States

Unlearn AI Logo
$140,000 – $165,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, SoftwareIndustries

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIAI ForecastingClinical TrialsSoftware DevelopmentExperimentationProblem-SolvingTeam Collaboration

Questions & Answers

Common questions about this position

What is the salary range for the Applied Machine Learning Scientist position?

The salary range is $140K - $165K.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for the Applied ML Scientist role?

Candidates need expertise in machine learning, experience conducting novel and impactful research at top academic or industrial labs, or delivering ML and data-science products in ambiguous commercial settings, plus an entrepreneurial approach with end-to-end ownership.

What is the company culture like at Unlearn AI?

Unlearners are ambitious, disciplined experimenters, gritty, receptive to new ideas, storytellers, and team-oriented, prioritizing the mission first, company second, team third, and individuals last.

What makes a strong candidate for this Applied ML Scientist role?

Strong candidates have ML expertise from top research labs or commercial ML product delivery, an entrepreneurial mindset with end-to-end ownership, and align with Unlearn's culture of ambition, grit, and team orientation.

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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