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.