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Full Time Neural Engineer Jobs (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or ... Base Salary Range: $199,000-$331,000 USD What We Offer: Full-time employees are eligible for the ...

The Walt Disney Company

Sr Staff R&D Engineer

Nicasio, CA

$206K - $276K/yr

... neural vocoders, latent diffusion models, and advanced retraining workflows. As a core member of ... Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Nicasio, CA ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

Our team consists of scientists and engineers, working closely together to define the engineering ... Design, execute, interpret, and communicate the results of neural recording and stimulation ...

Dolby

Neural-Assisted Video Coding Intern

Sunnyvale, CA · On-site

$55 - $62/hr

Extensive programming experience in python/C/C++ applied to image/video coding/processing and ... Must be available to work full-time Monday - Friday for 6 months between September 2026- March 2027.

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Full Time Neural Engineer information

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$59.5K

$111.6K

$203K

How much do full time neural engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time neural engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Neural Engineer vs Machine Learning Engineer?

AspectFull Time Neural EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in Neuroscience, Computer Science, or related fields; experience with neural dataBachelor's or Master's in Computer Science, Data Science, or related fields; strong programming skills
Work EnvironmentResearch labs, healthcare, biotech companies focusing on neural data and brain-computer interfacesTech companies, startups, research institutions working on algorithms and data modeling
Employer & Industry UsageNeuroscience, biotech, healthcareTechnology, finance, e-commerce, research

Full Time Neural Engineers focus on developing and analyzing neural data, often working in healthcare and biotech settings. Machine Learning Engineers design algorithms for data-driven applications across various industries. While both roles require programming skills, Neural Engineers specialize in neural systems, whereas Machine Learning Engineers work broadly on AI models.

More about Full Time Neural Engineer jobs
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What job categories do people searching Full Time Neural Engineer jobs look for? The top searched job categories for Full Time Neural Engineer jobs are:
Full Time Neural Engineer jobs near you
Infographic showing various Full Time Neural Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Neuralink

Austin, TX • On-site

$199K - $331K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
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.
Base Salary Range:
$199,000-$331,000 USD
What We Offer:
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
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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