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Neural Engineer Jobs in Ohio (NOW HIRING)

Epsilon Systems Solutions

$121K - $167K/yr

Design and train neural networks for various applications * Analyze data, manipulate 1-dimensional, 2-dimensional, and 3-dimensional data * Predict results and compare with trained outcomes * Conduct ...

Navstar

Senior AI/ML Engineer (SE4)

Dayton, OH

$101K - $139K/yr

Senior Ai/Ml Engineer (Se4) Epsilon C5I, a 100% employee-owned company founded in 1998, is seeking ... Design and train neural networks for various applications * Analyze and manipulate multi ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements ... Convolutional Neural Networks (CNNs) * Recurrent Neural Networks (RNNs) * Transformer-based ...

Tech Group International

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 ...

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Neural Engineer information

See Ohio salary details

$56.6K

$106.1K

$193K

How much do neural engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for neural engineer in Ohio is $106,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $126,000.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What types of projects and collaborations can a Neural Engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

What does a Neural Engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive in the Neural Engineer position, and why are they important?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are the most commonly searched types of Neural Engineer jobs in Ohio? The most popular types of Neural Engineer jobs in Ohio are:
What are popular job titles related to Neural Engineer jobs in Ohio? For Neural Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Ohio look for? The top searched job categories for Neural Engineer jobs in Ohio are:
Neural Engineer jobs near you
Senior Machine Learning Engineer, Neural Simulators

Senior Machine Learning Engineer, Neural Simulators

Path Robotics

Columbus, OH • On-site, Remote

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones.
We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality.
This role can be located in our Columbus, Ohio Headquarters or Remote.
What You'll Do
  • Build a learned world model of the welding process that predicts future system behavior under robot actions.
  • Develop multimodal neural simulators incorporating signals such as 3D scans, video, thermal data, and electrical measurements.
  • Design, train, and evaluate large-scale generative or dynamics models (e.g., video prediction, latent world models, 3D or spatiotemporal representations) capable of long-horizon rollouts.
  • Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation.
  • Run research tracks in parallel with production development, including hypothesis-driven experimentation and ablation.
  • Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed.
  • Translate research prototypes into robust, maintainable production code when they prove valuable.
  • Validate simulator performance against real-world robotic welding data and support sim-to-real transfer.
Who You Are
  • Experience building and deploying ML systems for robotics or other complex physical processes in real-world settings.
  • Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction.
  • Comfortable training large models from scratch and working with the tooling and infrastructure required to scale experiments.
  • Enjoy working with messy, real-world data and are pragmatic about imperfect ground truth.
  • Strong software engineer with solid Python skills and experience in frameworks such as PyTorch or JAX.
  • You are excited by a role that blends research depth with practical impact, and you're willing to context-switch when the team needs it.
A Note on Background
We do not expect prior welding experience. We do expect comfort modeling complex physical systems from data, reasoning about failure modes, and iterating toward accuracy under real-world constraints.
Why This Role
  • You'll help define the core learning infrastructure that underpins our robotic systems
  • You'll have space to pursue research tracks that run in parallel with production development.
  • You'll work on problems where success is measurable in the physical world - not just benchmarks.
  • You'll join a team that values depth, ownership, and adaptability over narrow specialization.

Why You'll Love Working Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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