... engineering - CAE, and manufacturing use cases. * Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE. * Architect and deploy ...
... engineering - CAE, and manufacturing use cases. * Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE. * Architect and deploy ...
Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...
Quick apply
... engineering to identify and select relevant features to improve ML model performance; Leveraging Hyperparameter Optimization to enhance ML model accuracy and generalization; Utilizing Neural Networks ...
... engineering to identify and select relevant features to improve ML model performance; Leveraging Hyperparameter Optimization to enhance ML model accuracy and generalization; Utilizing Neural Networks ...
... engineering to identify and select relevant features to improve ML model performance; Leveraging Hyperparameter Optimization to enhance ML model accuracy and generalization; Utilizing Neural Networks ...
... engineering to identify and select relevant features to improve ML model performance; Leveraging Hyperparameter Optimization to enhance ML model accuracy and generalization; Utilizing Neural Networks ...
... engineering to identify and select relevant features to improve ML model performance; Leveraging Hyperparameter Optimization to enhance ML model accuracy and generalization; Utilizing Neural Networks ...
... engineering to identify and select relevant features to improve ML model performance; Leveraging Hyperparameter Optimization to enhance ML model accuracy and generalization; Utilizing Neural Networks ...
Qualifications : Required : • Bachelor's degree in Computer Engineering, Computer Science ... Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory's (LSTM), and ...
Qualifications : Required : • Bachelor's degree in Computer Engineering, Computer Science ... Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory's (LSTM), and ...
Lead Forecasting Engineer
$100K - $132K/yr
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks ... Engineering * Must be a U.S. citizen * Written and oral communication in English required ...
Lead Forecasting Engineer
$100K - $132K/yr
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks ... Engineering * Must be a U.S. citizen * Written and oral communication in English required ...
Lead Forecasting Engineer
Toledo, OH · On-site
$100K - $132K/yr
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks ... Engineering * Must be a U.S. citizen * Written and oral communication in English required ...
Lead Forecasting Engineer
Toledo, OH · On-site
$100K - $132K/yr
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks ... Engineering * Must be a U.S. citizen * Written and oral communication in English required ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
IT - Senior Technology Architect | data science | Machine Learning
Dayton, OH · On-site
$65.25 - $87.50/hr
Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems ... Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.
IT - Senior Technology Architect | data science | Machine Learning
Dayton, OH · On-site
$65.25 - $87.50/hr
Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems ... Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
AI & GenAI Data Scientist - Manager
$99K - $232K/yr
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...
Lead Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$157K - $220K/yr
Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$157K - $220K/yr
Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
... such as neural tube folding using stem cell-based organoids. The ideal candidate will have evidenced experience of microfluidics, 3D bioprinting, tissue engineering, neurobiology, stem cells ...
... such as neural tube folding using stem cell-based organoids. The ideal candidate will have evidenced experience of microfluidics, 3D bioprinting, tissue engineering, neurobiology, stem cells ...
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval ... Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity ...
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval ... Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity ...
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval ... Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity ...
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval ... Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity ...
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval ... Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity ...
Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval ... Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity ...
Principal Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$206K - $284K/yr
Government. * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Principal Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$206K - $284K/yr
Government. * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Quantitative Analytics & Model Consultant Senior - Data, Modeling & Analytics
Delaware, OH · On-site
... neural network, and other machine learning algorithms, to design samples and build statistical ... Master's degree in Statistics, Mathematics, Engineering or Econometrics Experience in banking ...
Quantitative Analytics & Model Consultant Senior - Data, Modeling & Analytics
Delaware, OH · On-site
... neural network, and other machine learning algorithms, to design samples and build statistical ... Master's degree in Statistics, Mathematics, Engineering or Econometrics Experience in banking ...
Neural Engineering information
See Ohio salary details
$10.51 - $12.11
2% of jobs
$12.11 - $13.71
4% of jobs
$15.31 is the 25th percentile. Wages below this are outliers.
$13.71 - $15.31
19% of jobs
$15.31 - $16.91
24% of jobs
The median wage is $17.01 / hr.
$16.91 - $18.51
17% of jobs
$19.47 is the 75th percentile. Wages above this are outliers.
$18.51 - $20.11
16% of jobs
$20.11 - $21.71
6% of jobs
$21.71 - $23.31
5% of jobs
$23.31 - $24.91
3% of jobs
$24.91 - $26.51
3% of jobs
$26.51 - $28.11
1% of jobs
$10
$18
$28
How much do neural engineering jobs pay per hour?
As of Jun 14, 2026, the average hourly pay for neural engineering in Ohio is $18.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $19.90 per hour, depending on experience, location, and employer.
How much are neural engineers paid?
Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.
What is neural engineering?
Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.
What engineers make $500,000?
Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.
What are the key skills and qualifications needed to thrive as a Neural Engineer, and why are they important?
To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.
What can you do with a neural engineering degree?
A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.
What is the salary of a neuroengineer?
The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.
What Are Jobs in Neural Engineering?
Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.
What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?
Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are popular job titles related to Neural Engineering jobs in Ohio? For Neural Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Ohio look for? The top searched job categories for Neural Engineering jobs in Ohio are:
What cities in Ohio are hiring for Neural Engineering jobs? Cities in Ohio with the most Neural Engineering job openings:
Other
Medical, Dental, Vision, Retirement, PTO
Posted 7 days ago
Job description
What Makes a Honda, is Who Makes a Honda
Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint."
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future!
Job PurposeLead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda's automotive R&D initiatives, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins—owning solutions end-to-end and mentoring engineers while partnering with CAE, CAD, manufacturing, and data platform teams.
Key Accountabilities- Lead development and validation of AI/ML solutions with measurable impact for automotive engineering - CAE, and manufacturing use cases.
- Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE.
- Architect and deploy scalable cloud-based AI systems on AWS/Azure aligned with enterprise governance.
- Own the full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
- Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability).
- Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows.
- Support ETL activities related to ADC data (CAE) structure.
- Establish design standards, code quality, and documentation to support reuse and auditability.
- Mentor and technically guide mid-level and junior engineers.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
- 8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.
- Other Job-Specific Skills
- Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs)
- Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts
- Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Strong foundation in statistics, optimization, and numerical methods
- Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock)
- Experience with LangGraph / LangChain & Strands SDK.
- Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD)
- Knowledge of model governance, compliance, and responsible AI frameworks
- CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred).
- Prior knowledge of automotive or related design engineering work is a plus.
- Work is primarily conducted at an office desk; hybrid (office/home) work may be available.
- Occasional travel and overtime may be required based on project milestones.
- Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders.
Total Rewards:
- Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
- Regional Bonus (when applicable)
- Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
- Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
- Paid time off, including vacation, holidays, shutdown
- Company Paid Short-Term and Long-Term Disability
- 401K Plan with company match + additional contribution
- Relocation assistance (if eligible)
Career Growth:
- Advancement Opportunities
- Career Mobility
- Education Reimbursement for Continued learning
- Training and Development Programs
Additional Offerings:
- Lifestyle Account
- Childcare Reimbursement Account
- Elder Care Support
- Tuition Assistance & Student Loan Repayment
- Wellbeing Program
- Community Service and Engagement Programs
- Product Programs
Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
About Honda Motor
Sourced by ZipRecruiter
Industry
Automobile dealers and manufacturing
Company size
10,000+ Employees
Headquarters location
Torrance, CA, US