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Online Neural Engineer Jobs (NOW HIRING)

New York University

Research Engineer

New York, NY · On-site

$34.34/hr

Furthermore, CCS educational initiatives, spanning certificate and online degree programs ... Expected to contribute to new methods for developing neural network architectures that are more ...

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Online Neural Engineer information

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$59.5K

$111.6K

$203K

How much do online neural engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for online 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 Online Neural Engineer vs Data Scientist?

AspectOnline Neural EngineerData Scientist
Required CredentialsBachelor's or master's in neuroscience, computer science, or related fields; experience with neural data and machine learningBachelor's or master's in statistics, computer science, or related fields; proficiency in data analysis and programming
Work EnvironmentResearch labs, tech companies, healthcare settings focusing on neural data and AI applicationsBusiness, tech, or healthcare sectors analyzing large datasets to inform decisions
Employer & Industry UsageNeuroscience research institutions, biotech firms, AI startupsTech companies, finance, healthcare, consulting firms

Online Neural Engineers focus on developing and applying neural data analysis and AI models related to brain activity, often working in research or healthcare. Data Scientists analyze diverse datasets across industries to extract insights. While both roles require strong analytical skills, Online Neural Engineers specialize in neural data and AI applications in neuroscience, whereas Data Scientists have a broader scope across various data types and sectors.

What are the key skills and qualifications needed to thrive as an Online Neural Engineer, and why are they important?

To thrive as an Online Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and programming, often supported by a relevant degree such as in electrical engineering or neuroscience. Experience with neural signal processing software (e.g., MATLAB, Python), data acquisition systems, and knowledge of brain-computer interface (BCI) technologies are typically required, as well as familiarity with industry certifications or compliance standards. Excellent analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are crucial soft skills for collaborating across interdisciplinary teams. These skills ensure the development and maintenance of robust neural engineering systems that advance research and clinical applications in real-time, online environments.

How does an Online Neural Engineer typically collaborate with multidisciplinary teams to implement neural interface solutions?

Online Neural Engineers frequently work alongside neuroscientists, software developers, and hardware engineers to design, test, and refine neural interface systems. Collaboration often involves translating neuroscience research into practical algorithms, integrating neural data with real-time software, and ensuring hardware compatibility. Regular communication and agile development cycles are common, as teams troubleshoot challenges such as signal noise or real-time processing constraints. This collaborative environment helps bridge the gap between research and deployable neurotechnology solutions.

What are Online Neural Engineers?

Online Neural Engineers are professionals who design, develop, and implement neural network models and algorithms that operate in real-time or within online (live) systems. They often work with artificial intelligence, machine learning, and neural network architectures to process data as it is received, enabling immediate analysis and decision-making. Their work is crucial in applications like adaptive control systems, real-time data processing, and interactive AI services. Online Neural Engineers typically have strong backgrounds in computer science, neuroscience, data analysis, and programming.
What cities are hiring for Online Neural Engineer jobs? Cities with the most Online Neural Engineer job openings:
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What states have the most Online Neural Engineer jobs? States with the most job openings for Online Neural Engineer jobs include:
Online Neural Engineer jobs near you
AI/ML for Power System Analysis, Power Flow, and State Estimation Fall Student Engineer

AI/ML for Power System Analysis, Power Flow, and State Estimation Fall Student Engineer

Electric Power Research Institute, Inc.

Knoxville, TN • On-site

$31 - $36/hr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

Job Title:
AI/ML for Power System Analysis, Power Flow, and State Estimation Fall Student Engineer
Location:
Knoxville, TN
Job Summary and Description:
This is an internship position for a student to support R&D projects related to AI-driven power system modeling, including power flow, state estimation, and large-scale grid analytics under high renewable penetration. Looking for students who can work at minimum in the 2026 Fall semester (August-December).
Duties & Responsibilities:
The student must be familiar with the following:
  • Basic familiarity with integrating physical constraints (power flow equations, network limits) into data-driven models (physics-informed ML concepts)
  • Understanding of representing power systems as graphs and applying graph-based learning methods (e.g., graph neural networks)
  • Exposure to developing machine learning models (preferably deep learning) for power system applications
  • Working knowledge of AC/DC power flow, state estimation, and grid modeling fundamentals
  • Procedure of running power flow simulations using tools such as PSS®E, PSLF, Pandapower, or MATPOWER, and understanding system modeling workflows
  • Procedure of generating datasets using simulation tools for varying load, generation, and contingency conditions (N-1, N-k)

Qualifications:
  • Minimum 1 year of Master's or PhD (in Electrical Engineering focusing on Power systems)

Ideal Candidate:
  • Electrical engineering PhD student with emphasis on AI for power systems
  • Strong understanding of power flow and/or state estimation methods
  • Familiarity with power system simulation tools (preferably PSS®E, PSLF, Pandapower, or MATPOWER)
  • Strong programming skills (preferably in Python, MATLAB is a plus)
  • Experience with machine learning or deep learning frameworks (e.g., PyTorch or TensorFlow)
  • Exposure to graph neural networks will be considered a plus
  • Experience with data processing, numerical computing, and model development
  • Strong technical writing and presentation skills

The hourly rate range for Student positions are:
  • Undergraduate: $16-29 per hour
  • Masters: $27-33 per hour
  • Ph.D: $31-36 per hour

These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.
For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com

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