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Research Engineer - Foundational AI

Piramidal

New York, NYFull-time$120–280K/yrSeen 1mo agoStill listed 6 days ago

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At a glance

Compensation
$120–280K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Research Engineer will build AI systems for neural data, designing and enhancing massive-scale distributed machine learning platforms while producing reliable code and contributing to neuroscience-driven algorithmic innovation.

Skills & qualifications

RequiredNice to have

Skills

PythonTorch/PyTorchDistributed SystemsMachine LearningPyTorchJAXJuliaSignal ProcessingTime Series Analysis

Qualifications

Bachelor's Degree in Computer Science, Mathematics, or PhysicsMaster's or PhD in Statistics or Related Field4+ Years Software Engineering Experience4+ Years Experience With Deep Learning LibrariesExperience Working in Large Distributed SystemsExperience in Dense Time Series or Continuous Data TypesExperience in Signal Processing

Full job description

We are a neuro first company. As a Research Engineer here, you will build AI systems focused on neural data, capable of accomplishing previously impossible tasks. We're seeking individuals with strong engineering skills, including designing, implementing, and enhancing massive-scale distributed machine learning systems, producing bug-free machine learning code, and contributing to the neuroscience underlying algorithmic innovations.

Outstanding deep learning achievements increasingly depend on massive-scale systems, requiring engineers comfortable working in large distributed systems. We expect you to have:

  • Bachelor’s degree in computer science, mathematics, or physics.
  • 4+ years of software engineering experience.
  • 4+ years of experience with deep learning libraries (e.g., PyTorch, JAX, or Julia).
  • Experience working in large distributed systems.
  • Enthusiasm for AI Symbiosis.

The above are strict requirements, please do not apply unless you meet them. Nice to have:

  • Master’s or PhD in statistics or a related field.
  • Experience in dense time series and/or other continuous data types.
  • Experience in signal processing.
  • Past experience in creating high-performance implementations of deep learning algorithms.
  • Interest and thoughtful consideration regarding the impacts of AI on cognitive freedom.

You do not need to have experience in neuroscience. Compensation We offer competitive cash compensation at around the 60th percentile, supplemented by equity compensation at the highest percentile. Our approach balances immediate salary expectations with significant long-term equity upside. About Piramidal We are building a first-of-its-kind foundation model for electrophysiological brain data. Our goal is to create scaled neural decoders that enable humans to understand and control neural syntax. We are dedicated to redirecting technology to maximize human potential. At the heart of our mission is support for cognitive liberty - the fundamental right to freedom of thought, mental privacy, and self-determination. We champion each individual's right to access, understand, and positively influence their own brain. We firmly oppose commodification of minds and mental experiences. We are committed against any voluntary interference, manipulation, or punitive control over human thought. The brain is a battlefield – join us to build the tools that defend it.

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