Remote Otter LogoRemoteOtter

Founding Research Engineer - Remote

Posted 3 weeks ago
Software Development
Full Time
Worldwide

Overview

We’re building the platform that makes the $50b healthcare AI market safe, reliable and transparent by continually productising frontier LLM research.

In Short

  • Join a team of ML researchers, Rhodes Scholars, PhDs, and medical doctors.
  • Supercharge open-source LLMs for specific healthcare tasks.
  • Interpret internal reasoning using mechanistic interpretability techniques.
  • Robustify outputs through ongoing adversarial testing.
  • Design and train task-specific reward models.
  • Develop sparse autoencoder architectures.
  • Implement probing techniques to audit model representations.
  • Build pipelines for discrete optimization of LLM behavior.
  • Contribute to modular infrastructure for scalable experimentation.
  • Work towards making LLMs useful in healthcare.

Requirements

  • First-author publications in premier ML venues (e.g., NeurIPS, ICML).
  • Production engineering experience.
  • Ability to theorize and experiment quickly.
  • Understanding of when to prioritize speed vs perfection in execution.
  • Passionate about transforming healthcare with AI.

Benefits

  • Top-of-market early-stage equity.
  • Competitive salary.
  • Excessive health allowance.
  • Catered lunches and stocked kitchen.
  • Monthly book allowance.
  • Commuter benefits.
  • Tools and laptop provided.
  • Learning & development budget.
  • Team-building events.

Parsed

Parsed

Parsed is a pioneering company in the healthcare AI sector, focused on transforming the $50 billion market by creating a safe, reliable, and transparent AI infrastructure. The company specializes in enhancing large language models (LLMs) for specific healthcare applications, ensuring that these models are interpretable and trustworthy for clinicians, regulators, and patients alike. With a team comprising ML researchers, medical professionals, and experts in mechanistic interpretability, Parsed is dedicated to developing advanced AI systems that can reason, plan, and operate transparently, ultimately aiming to unlock the full potential of AI in clinical workflows. Backed by prominent investors, Parsed is committed to improving patient outcomes through innovative technology and a deep understanding of both medicine and AI.

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