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Physics Informed Machine Learning Jobs in Colorado

... Machine Learning (ML) techniques. Experience in Reinforcement Learning (RL), Computer Vision, or ... physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks ...

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Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Colorado?

For Physics Informed Machine Learning jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Physics Informed Machine Learning jobs?

Cities in Colorado with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 6% Internship, 43% Full Time, 45% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Senior Data Scientist / AI Machine Learning Research Engineer Denver, CO, US + 2 more

Denver, CO โ€ข On-site

$82K - $172K/yr

Other

Medical, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Apply machine learning and statistical techniques to develop algorithms for solving challenging problems in signal processing and computer networking domains.

  • Design and build data pipelines, including ETL processes and data warehousing solutions, to support large-scale data processing.

  • Deploy machine learning solutions using cloud-based infrastructure, including containerization, orchestration, and CI/CD pipelines.


Job description

## Senior Data Scientist / AI Machine Learning Research EngineerUS CO DenverJob Title: Senior Data Scientist / AI Machine Learning Research EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: Top SecretEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental USAnticipated Posting End: 1/1/2100**The Opportunity:** CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain. **Responsibilities:**1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries.2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment.4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles.**Qualifications:** *Required:** Masterโ€™s degree in quantitative field with mathematical underpinnings and at least 5 yearsโ€™ experience.* Experience developing models,.* Strong background in machine learning, mathematics and statistics.* Comfortable using Linux operating systems and commonly used Linux utilities.* Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract* Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph*Desired:** Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics.* Experience applying machine learning to signal processing and/or other time-series data analysis applications.* Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.* Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.* Active Top Secret/SCI clearance preferred.-**What You Can Expect:****A culture of integrity.**At CACI, we place character and innovation at the center of everything we do. As a valued team member, youโ€™ll be part of a high-performing group dedicated to our customerโ€™s missions and driven by a higher purpose โ€“ to ensure the safety of our nation.**An environment of trust.**CACI values the unique contributions that every employee brings to our company and our customers - every day. Youโ€™ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.**A focus on continuous growth.**Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground โ€” in your career and in our legacy.**Pay Range**:There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.Since this position can be worked in more than one location, the range shown is the national average for the position.The proposed salary range for this position is:$82,100-$172,400*CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.* #J-18808-Ljbffr