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Full Time Neural Engineer Jobs (NOW HIRING)

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Acceler8 Talent

Compiler Engineer

Manhattan, NY · Remote

... for neural net inference. You'll join a superb group of Engineers, designing, developing and ... Fully Remote across North America Seniority level Mid-Senior level Employment type Full-time Job ...

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

As of Jun 5, 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
Fellow in Biohybrid Systems & Neural Interfaces - Harvard Bionics Lab

Fellow in Biohybrid Systems & Neural Interfaces - Harvard Bionics Lab

Harvard University

Cambridge, MA • On-site

$50K - $70K/yr

Full-time

Posted 22 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 532 rated colleges and universities

Job description

Position
Details
Title
Fellow in Biohybrid Systems & Neural Interfaces - Harvard Bionics Lab
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Bioengineering
Position Description
The Harvard Bionics Lab is seeking a Fellow to support experimental and translational research at the interface of neural engineering, bioelectronics, and physiology. The role focuses on developing and evaluating sensing technologies for peripheral nerve and organ interfacing, with an emphasis on in vivo rodent (rat/mouse) models.
The Fellow will work closely with a multidisciplinary team to design, build, and test sensor systems for recording neural and physiological signals. Responsibilities include conducting survival surgeries in rodents, performing electrophysiological recordings, developing and prototyping sensing hardware, and executing structured data collection protocols.
The candidate will contribute to experiments involving nerve interfacing, signal acquisition, and biomarker-driven systems. This includes working with peripheral nerves, muscles, and/or organ systems to quantify physiological responses and neural activity. The role will also involve analyzing datasets, maintaining rigorous experimental documentation, and supporting iterative device development.
A significant portion of the work will require hands-on experimentation, including rodent handling, surgical procedures, and electrophysiology. The candidate is expected to operate independently within defined protocols and contribute to troubleshooting and optimization of experimental systems.
Basic Qualifications
  • Bachelor's or Master's degree in Bioengineering, Biomedical Engineering, Neuroscience, Physiology, or Electrical Engineering
  • Prior hands-on experience with rat or mouse models (required)

Additional Qualifications
  • At least 1-2 years of research experience in an academic or industry lab setting
  • Experience with electrophysiology (neural recording, EMG, or related techniques)
  • Exposure to sensor design, bioinstrumentation, or embedded systems
  • Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis)
  • Familiarity with surgical techniques or willingness to be trained in rodent survival surgeries
  • Strong organizational skills and attention to experimental rigor and reproducibility

Special Instructions
  • Candidates must be available for a full-time, 12-month commitment
  • Applications should include a CV and brief statement of research experience
  • At least two references required

Contact Information
Allison Choat
Contact Email
achoat@g.harvard.edu
Salary Range
$50,000 - $70,000
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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