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Physics Informed Machine Learning Jobs in Colorado

Anduril Industries

Senior Software Engineer

Broomfield, CO · On-site

$123K - $162K/yr

... physics, engineering, or other technical field (advanced degree strongly preferred) • C/C ... optimization • Machine learning: supervised and unsupervised learning, clustering, and ...

Anduril Industries

Senior Software Engineer

Broomfield, CO · On-site

$123K - $162K/yr

... physics, engineering, or other technical field (advanced degree strongly preferred) • C/C ... optimization • Machine learning: supervised and unsupervised learning, clustering, and ...

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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 job categories do people searching Physics Informed Machine Learning jobs in Colorado look for? The top searched job categories for Physics Informed Machine Learning jobs in Colorado 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:
Physics Informed Machine Learning jobs near you
Algorithm Developer

Algorithm Developer

Toyon Research Corporation

Fort Collins, CO • On-site

$100K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

U.S. Citizenship Required. Ability to qualify for a US Department of Defense security clearance required.
This position is in person.
Toyon is seeking Algorithm Developers capable of developing advanced algorithms and software for image/video, radar, and other signal processing applications. We are looking for algorithm and software developers with experience and/or an educational background in: signal processing, machine learning, estimation theory, computer vision, computational imaging, and/or electromagnetics.
Requirements
Candidates should have a strong background in engineering, computer science, physics, and/or applied mathematics. An advanced degree (M.S./Ph.D.) or a Bachelor's degree and at least two years of industry experience are required. Experience with software development using the Python and/or C++ computer languages and experience with collaborative development with other team members is required. Experience developing and testing algorithms for processing real-world image or radar data is strongly desired. Experience with wave physics (RF, acoustic, optical) is strongly desired.
WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!
  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Algorithm Developer position is $100,000 to $190,000.
The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.
Equal Opportunity Employer including Disability and Veterans
Applicant Privacy Notice
Learn more about our company in our latest video, We are Toyon.
The application window for this posting will remain open until the position is filled.
Ref #2618-C

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