Machine Learning Engineer

About the role

You will own the design and delivery of machine learning systems that decode neural signals to restore movement and sensation for paralyzed individuals. You will partner with neuroscientists and hardware engineers to translate raw neural data into reliable, real-time control of digital interfaces and robotic prosthetics. You will define research questions and production metrics that shape the next generation of brain-computer interface capabilities. You will implement algorithms that not only perform well offline but also operate within strict latency and power constraints on embedded systems. You will communicate findings clearly to cross-functional teams to ensure alignment on usability, safety, and user experience. You will contribute to an open research culture where simple, first-principles solutions are valued over unnecessary complexity. Your work will directly influence how users interact with technology using only their thoughts.

Key facts

What you'll do

Implement and iterate on neural decoding models that enable users to type at target speeds and control external devices with high accuracy.

Design experiments and feature pipelines to process high-dimensional neural recordings and validate performance in real-world scenarios.

Optimize machine learning pipelines for low-latency inference on custom neural interface hardware.

Collaborate with firmware and systems teams to integrate models into production software stacks under strict reliability requirements.

Analyze real-world usage data to identify failure modes and drive improvements to model robustness and user experience.

Define and track key product metrics that inform trade-offs between model complexity, power consumption, and user benefit.

Support hardware roadmap decisions by modeling how algorithmic requirements constrain sensor design and data acquisition strategies.

Lead code reviews and technical documentation to elevate engineering standards across the BCI team.

Prototype novel machine learning approaches in a research setting and assess their practical viability for deployment.

Partner closely with users and stakeholders to prioritize features that meaningfully impact quality of life and usability.

Requirements

Experience writing production-level C/C++/Rust and Python is required for this role.

A proven track record of designing, building, and shipping real-time machine learning products is mandatory.

You must have a strong foundation in signal processing, algorithms, and software engineering principles.

A Bachelor's degree in a relevant field or equivalent practical experience is required.

You must be able to work in the United States without sponsorship now or in the future for this role.

You must be authorized to work in the location listed on the requisition or be willing to relocate to an eligible location if hired.

You must be physically able to perform the essential functions of this role, with or without reasonable accommodation.

The role requires the ability to meet position-specific demands and exert up to five pounds of force occasionally.

Practical notes

This role is full-time.

You must be physically able to perform the essential functions of this role, with or without reasonable accommodation.

You must be authorized to work in the location listed on the requisition or be willing to relocate to an eligible location if hired.

You must be able to work in the United States without sponsorship now or in the future for this role.

The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.

Full-time employees are eligible for the following benefits listed below.

An opportunity to change the world and work with some of the smartest and most talented experts from different fields.

Growth potential; we rapidly advance team members who have an outsized impact on our mission.

Excellent medical, dental, and vision insurance through a PPO plan.

Paid holidays.

Commuter benefits.

Meals provided.

Equity (RSUs) *Temporary Employees & Interns excluded.

Fast forward to 40:32 to learn more about neural decoding:

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