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Physics Informed Neural Networks Jobs in Colorado

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

... Physics, or a related technical discipline. * Strong experience developing machine learning and ... Neural Networks * Model Validation and Monitoring * Experience with cloud computing platforms and ...

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO

$100K - $210K/yr

Bachelors Degree in Mathematics, Physics, Statistics or related field. * Minimum five (5) years of ... Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.

Nvidia

HPC Middleware Developer

Boulder, CO · On-site

PhD or equivalent experience in CS/EE/Math/Physics * Knowledge in MPI and High-performance ... This new model - where deep neural networks are trained to recognize patterns from massive amounts ...

Patriot

HPC Software Engineer

Colorado Springs, CO · On-site

$134K - $235K/yr

... physics background and experience in some combination of modeling and simulation, Fortran and/or C ... ML/Neural Networks experience • Good organization skills to balance and prioritize work • ...

Patriot, LLC

HPC Software Engineer

Colorado Springs, CO · On-site

$134K - $235K/yr

... physics background and experience in some combination of modeling and simulation, Fortran and/or C ... AI/ML/Neural Networks experience * Good organization skills to balance and prioritize work

Meta

Edge Delivery Manager

Denver, CO

$135K/yr

Meta operates one of the largest Content Delivery Networks in the world. The Edge Production Infra ... to make informed decisions * Demonstrated ability to integrate AI tools to optimize/redesign ...

All JobsPhysics Informed Neural Networks JobsPhysics Informed Neural Networks Jobs in Colorado

Physics Informed Neural Networks information

What is a physics informed neural network?

A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.

What are the key skills and qualifications needed to thrive in physics informed neural networks?

To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.

What does a physics informed neural network do?

In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.

What are popular job titles related to Physics Informed Neural Networks jobs in Colorado? For Physics Informed Neural Networks jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Physics Informed Neural Networks jobs in Colorado look for? The top searched job categories for Physics Informed Neural Networks jobs in Colorado are:
What cities in Colorado are hiring for Physics Informed Neural Networks jobs? Cities in Colorado with the most Physics Informed Neural Networks job openings:
Physics Informed Neural Networks jobs near you
Infographic showing various Physics Informed Neural Networks job openings in Colorado as of August 2026, with employment types broken down into 38% Full Time, 61% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

A.I. Engineer

Seneca Resources Company, LLC

Denver, CO • On-site

$70/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 14 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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