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Physics Informed Machine Learning Jobs in Colorado

Make informed recommendations regarding competing technical solutions by maintaining awareness of ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

AI Solutions Architect

Denver, CO · On-site

$64.75 - $85.50/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Make informed recommendations regarding competing technical solutions by maintaining awareness of ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Make informed recommendations regarding competing technical solutions by maintaining awareness of ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Bachelor's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field * 6+ years of experience in data science and applied machine ...

Patent Agent

Denver, CO

$140K - $240K/yr

... physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging, and Signal Processing.

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

Bachelors Degree in Mathematics, Physics, Statistics or related field. * Minimum five (5) years of ... Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural ...

Software Engineer

Fort Collins, CO · On-site

$120K - $200K/yr

... Machine Learning (ML) applications. Our software engineers work closely with our researchers and ... Candidates should possess strong math and physics knowledge to enable developing advanced AI/ML ...

Algorithm Developer

Fort Collins, CO · On-site

$100K - $190K/yr

... machine learning, estimation theory, computer vision, computational imaging, and/or electromagnetics. Requirements Candidates should have a strong background in engineering, computer science, physics ...

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Physics Informed Machine Learning information

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 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 is a Physics Informed Machine Learning job?

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 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:
Data Scientist 3 with Security Clearance

Data Scientist 3 with Security Clearance

Tailored Access, LLC

Colorado Springs, CO

Other

Posted 29 days ago


Job description

What You'll be Owning: * We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have : * Possess 2 or more of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.

* Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.

* Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.

algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

* Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g.

data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. * Active TS/SCI w/ poly