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Neural Engineer Jobs in Colorado (NOW HIRING)

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

AI Engineer (Machine Learning / LLMs / Agentic AI) Location: Merrifield, VA (Hybrid or Remote for ... Build scalable neural network solutions using TensorFlow and PyTorch. * Research, develop, fine ...

NewGen

HPC Software Engineer

Colorado Springs, CO · On-site

AI/ML/Neural Networks experience * Good organization skills to balance and prioritize work * Superior programming skills and excellent attention to detail * Strong communication skills a results ...

Pwc

AI Engineer

Denver, CO · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Belcan

AI/ML Engineer III

Englewood, CO · On-site

AI/ML Engineer III Location: Englewood, CO Zip Code: 80112 Duration: 6 Months Pay Rate: $ 68.17/hr ... Lead the design and development of advanced machine learning models, including deep neural networks ...

Pwc

AI Engineer

Denver, CO · On-site

$55K - $187K/yr

... neural network methodologies to optimize AI model performance - Managing data pipelines to validate efficient data flow and processing - Building and maintaining relationships with stakeholders to ...

Judge Group, Inc.

AI/ML Engineer III

Highlands Ranch, CO · On-site

$63 - $65/hr

Lead the design and development of advanced machine learning models, including deep neural networks ... Work with Project Engineer/Project Manager to identify and manage technical risks, develop ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Colorado

Neural Engineer information

See Colorado salary details

$62.6K

$117.4K

$213.5K

How much do neural engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for neural engineer in Colorado is $117,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $139,300.00 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 find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

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.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

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 as a neural engineer?

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 Colorado? The most popular types of Neural Engineer jobs in Colorado are:
What are popular job titles related to Neural Engineer jobs in Colorado? For Neural Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Colorado look for? The top searched job categories for Neural Engineer jobs in Colorado are:
Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Colorado as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,383 per year, or $56.4 per hour.

A.I. Engineer

Seneca Resources Company, LLC

Denver, CO • On-site

$70/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Job description

Position Title:
AI Engineer (Machine Learning / LLMs / Agentic AI)
Location:
Merrifield, VA (Hybrid or Remote for Highly Qualified Candidates) (Remote in AK, CA, NJ, or PA)
Position Status:
Contract w2
Pay Rate:
$70/hr on w2
Position Description
We are seeking an experienced AI Engineer with deep expertise in Machine Learning, Large Language Models (LLMs), Agentic AI, Deep Learning, and Neural Networks to support innovative cybersecurity and emerging technology initiatives. This is an exciting opportunity to build next-generation AI solutions while working alongside data scientists, machine learning engineers, and software developers on cutting-edge projects.
The ideal candidate has a strong computer science foundation, hands-on experience developing production-ready machine learning models using TensorFlow and PyTorch, and a passion for researching and implementing emerging AI technologies.
Key Responsibilities
  • Design, develop, train, validate, deploy, and optimize machine learning and deep learning models.
  • Build scalable neural network solutions using TensorFlow and PyTorch.
  • Research, develop, fine-tune, and implement Large Language Models (LLMs) and Agentic AI frameworks.
  • Analyze large-scale structured and unstructured datasets to identify trends, patterns, and actionable insights.
  • Design AI-powered solutions for cybersecurity, automation, and emerging technology initiatives.
  • Review AI system architectures and data flows to identify security vulnerabilities and operational risks.
  • Conduct AI risk assessments throughout the entire AI lifecycle, including data security, model development, deployment, monitoring, and governance.
  • Collaborate with cross-functional teams including Data Engineers, Data Scientists, Machine Learning Engineers, Software Engineers, and Visualization teams.
  • Develop AI and data science solutions utilizing cloud infrastructure and modern ML platforms.
  • Optimize models for scalability, inference performance, and production deployment.
  • Evaluate emerging AI technologies and recommend innovative approaches to improve business capabilities.
  • Support ongoing model monitoring, maintenance, and continuous improvement.
Required Skills & Education
  • Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, or a related technical discipline.
  • Strong experience developing machine learning and deep learning models from design through production deployment.
  • Hands-on experience with TensorFlow and/or PyTorch.
  • Experience with Large Language Models (LLMs), Generative AI, and Prompt Engineering.
  • Experience working with Agentic AI frameworks or willingness to quickly develop expertise.
  • Strong understanding of:
    • Machine Learning
    • Deep Learning
    • Statistical Modeling
    • Neural Networks
    • Model Validation and Monitoring
  • Experience with cloud computing platforms and distributed AI workloads.
  • Experience with Natural Language Processing (NLP), Natural Language Understanding (NLU), and Generative AI.
  • Experience with Computer Vision, Image Processing, or Video Analytics.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating effectively across multidisciplinary teams.
Preferred Qualifications
  • Experience performing AI Security and AI Safety assessments.
  • Knowledge of responsible AI governance and AI risk management.
  • Experience reviewing AI architectures and evaluating data security risks.
  • Experience deploying AI solutions in cybersecurity environments.
  • GPU optimization experience using C++, CUDA, or similar technologies.
  • Experience with MLOps, CI/CD pipelines, model automation, and production deployment.
  • Experience with reinforcement learning techniques.
  • Experience with speech recognition technologies.
  • Experience with Microsoft Azure AI and cloud services.
  • Familiarity with AI model monitoring, governance, and lifecycle management.
Why Join This Opportunity?
  • Work on cutting-edge AI and cybersecurity initiatives.
  • Collaborate with highly skilled AI researchers, engineers, and data scientists.
  • Develop innovative solutions using the latest advancements in Generative AI and Agentic AI.
  • Competitive hourly compensation.
  • Flexible hybrid/remote work options for qualified candidates.
  • Opportunity to influence enterprise AI strategy and emerging technologies.
About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm-we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path.
Our consultants and contractors enjoy:
  • Competitive compensation
  • Comprehensive medical, dental, and vision insurance
  • 401(k) retirement savings plan
  • Dedicated recruiter and consultant support throughout your engagement
  • Opportunities to work with leading organizations on impactful projects

Seneca Resources is proud to be an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We encourage all qualified applicants to apply regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.

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