Research Engineer - Foundational AI

Piramidal (YC W24); New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Piramidal (YC W24) in New York is looking for a Research Engineer to build AI systems focused on neural data. The ideal candidate will have a Bachelor’s degree in computer science, mathematics, or physics, as well as 4+ years of software engineering experience and expertise with deep learning libraries. The position emphasizes working in large distributed systems and passion for AI. We offer competitive compensation and equity opportunities. Join us to create groundbreaking technology in the neuroscience space.

Qualifications

• 4+ years of software engineering experience.
• 4+ years of experience with deep learning libraries.
• Experience working in large distributed systems.

Responsibilities

• Build AI systems focused on neural data.
• Design, implement, and enhance distributed machine learning systems.
• Produce bug-free machine learning code.

Skills

Software engineering

Deep learning libraries

Distributed systems

AI Symbiosis

Education

Bachelor’s degree in computer science, mathematics, or physics

Tools

PyTorch

JAX

Julia

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.

Compensation

You do not need to have experience in neuroscience. 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.