---
title: 'AI Engineer at Unlearn'
canonical: 'https://feeny.ai/job/ai-engineer-unlearn-san-francisco-j00jet7va89f'
type: 'job'
last_seen: '2026-09-09'
---

# AI Engineer at Unlearn

- **Company:** Unlearn
- **Location:** San Francisco, CA
- **Compensation:** $145k–$180k
- **Employment:** full-time
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/unlearn/8f194bba-0d69-4740-8360-bc6c025639a5

## Job description

## OUR MISSION AND VISION

Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.

We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.

We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.

## ABOUT OUR TEAM

We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:

- Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
- Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
- Unlearners are gritty; we never give up, setbacks just make us try harder.
- Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
- Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
- Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.

If our purpose and culture resonate with you, we invite you to apply.

AI Engineer. Our Science organization leads Unlearn’s efforts to build new capabilities across machine learning, statistics, and AI tools that help our teams create and deliver digital twin solutions to customers. This first-of-its-kind role at Unlearn will be responsible for scaling the use of agents for core business problems and deliver impact in efficiency and extensibility. Successful AI Engineers at Unlearn will be entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they collaborate heavily and investigate broadly to find the right tools and techniques to help their teams succeed.

## RESPONSIBILITIES INCLUDE:

- Build AI agents, skills, and tools that are core components of our workflows to create and deliver digital twins to customers
- Build infrastructure, harnessing, and governance systems to manage agentic workflows in line with regulatory and compliance requirements
- Collaborate with scientists across research, development, and delivery teams to define and build AI-centric solutions
- Work across teams to gain user feedback and increase adoption of new tools
- Clearly communicate capabilities and use to internal and external stakeholders
- Stay up to date with developments in AI tooling to inform Unlearn’s work

## MINIMUM REQUIREMENTS:

- B.S. in computer science or engineering, physics, mathematics, or a related field.
- Prior experience working with healthcare or clinical machine learning applications.
- 2+ years of experience developing AI skills, agents, and tools and applying them to solve real-world problems.
- Experience with AI systems, from infrastructure through agent creation and use.
- Experience with AWS cloud computing services.
- Evidence of successful execution of AI projects in an industry setting.

## BENEFITS & PERKS

The following benefits and perks are for full time roles only.

- Meaningful 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

Unlearn is an equal opportunity employer.

At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

## About Unlearn

## Company Overview
- **One-liner**: Unlearn uses AI and digital twins of clinical trial participants to enable faster, smaller, and more robust studies for biopharma companies.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Aaron Smith, Charles Fisher, Graham Siegel, Jonathan Walsh

## Core Business
- Primary industry/industries: Clinical research technology, AI-driven drug development, biotech
- Target customers: Biopharmaceutical companies, contract research organizations (CROs), clinical trial sponsors
- Mission or purpose statement: "To transform clinical development by making every trial smarter" – harnessing data, AI, and digital twins to bring life-saving treatments to patients faster.

## Products & Services
- **TwinRCT**: A randomized controlled trial enhanced with AI-generated digital twins to increase statistical power, reduce control arm size, and shorten enrollment time.
- **PROCOVA**: A methodology that uses prognostic scores from digital twins to improve the precision of treatment effect estimates.
- **Digital Twin Generators**: AI models trained on historical patient-level data to predict individual health outcomes over time.
- **TrialPioneer** (launched Jan 2026): An AI-powered workspace for upstream trial planning, enabling teams to compare trial-design scenarios, evaluate endpoints, and simulate outcomes before protocol finalization.
- **SimLab**: A tool within TrialPioneer to build and compare trial-design scenarios with linked evidence.
- **Scout**: Continuous literature and regulatory surveillance from PubMed, ClinicalTrials.gov, and drugs@FDA to align on precedent.
- **Hindsight**: Exploration of harmonized clinical trial and real-world datasets to validate assumptions about population characteristics, endpoints, and benchmarks.
- **Regulatory Services**: Support for navigating FDA and EMA guidelines to qualify twin-based approaches (EMA qualified, aligned with FDA guidance).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of $134.8M; latest Series C of $50M (February 2024). Annual revenue estimated at $5.4M (LinkedIn company data, 2025).
- **Notable Investors/Partners**: 
  - **Investors**: 8VC, DCVC Bio, Insight Partners (board representation from Francisco Gimenez, Kiersten Stead, Dylan Morris)
  - **Partners**: VectorY Therapeutics (ALS trial), remynd (Alzheimer’s study), Trace Neuroscience (ALS), ProJenX (ALS)
- **Growth Signals**: 
  - Published peer-reviewed article on applying AI-powered digital twins in healthcare.
  - Active partnerships with multiple biopharma companies in neuroscience, immunology, and metabolic disease.
  - Headcount of ~61 employees (LinkedIn, 2025) with positive follower growth (+20.1% YoY on LinkedIn).
  - Product expansion with TrialPioneer launch in early 2026.

## Competitive Advantages
- **Proven Regulatory Credibility**: Digital twin methodology qualified by the EMA and aligned with current FDA guidance – a rare and defensible moat.
- **Proprietary AI Models**: Trained on large-scale historical patient data to generate accurate prognostic digital twins, reducing trial variability.
- **End-to-End Platform**: Single workspace covering trial planning (SimLab, Scout), monitoring (anomaly detection), and analysis (Hindsight, PROCOVA) – reducing fragmentation.
- **Demonstrated Reductions**: Claims of ~33% reduction in control arm size and ~4+ months of enrollment time saved (approximate values from the website).

## Strategic Focus
- **Immediate Priorities**: Expand commercial adoption of TwinRCT and TrialPioneer; deepen partnerships in neurology (ALS, Alzheimer’s) and immunology/metabolic disease.
- **Technology Roadmap**: Continue integrating AI and digital twins into more trial decisions, with emphasis on upstream trial design and real-time monitoring.
- **Growth Direction**: Scaling the platform to become the “scientific intelligence layer for clinical development” – connecting evidence, modeling, and reasoning across the trial lifecycle.

## Why Work Here
- **Mission-Driven**: Employees work at the frontier of AI in medicine, directly impacting how life-saving treatments reach patients faster.
- **Culture**: Described as “moonshot thinking” – setting radically ambitious goals to solve problems that affect millions of lives. Team of innovators in pharma, medtech, machine learning, and business.
- **Benefits**: 
  - 100% employer-paid medical, dental, and vision insurance for employee and family.
  - Company-paid life insurance, AD&D insurance, short/long-term disability.
  - 401k plan with 100% matching up to 4% of salary.
  - Paid parental leave.
  - Professional development budget for conferences, workshops, and classes.
  - Commuter benefits (ride or drive).
- **Work Environment**: San Francisco-based office; commuter benefits suggest in-office presence. Contract-to-hire opportunities available for some roles.
- **Open Roles**: Currently hiring a Product Designer (contract), Platform Engineer, and Product Manager – offering competitive salary, equity, and the chance to build on a data-intensive AI platform.

## Sources
1. [unlearn.ai](https://www.unlearn.ai/) – Product descriptions, case studies, press releases
2. [unlearn.ai/about](https://www.unlearn.ai/about) – Leadership, mission, board of directors
3. [unlearn.ai/careers](https://www.unlearn.ai/careers) – Open positions, benefits, culture
4. [crunchbase.com/organization/unlearn-ai](https://www.crunchbase.com/organization/unlearn-ai) – Funding history, company overview
5. [linkedin.com/company/unlearn-ai](https://www.linkedin.com/company/unlearn-ai) – Headcount, revenue estimate, employee growth

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