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Physics Informed Machine Learning Jobs in Orem, UT

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Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

Experience with interpretable or physically informed modeling techniques and an appreciation for explainable machine learning * Familiarity with MLOps concepts such as model versioning ...

... physics, and earth sciences * Assessment strategy - formative and summative assessments that ... Data-informed iteration - interpreting qualitative and quantitative learner data to identify gaps ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

... informed and deliverables on track. Required Skills/Abilities: · Strong business acumen with the ... machine learning · Excellent communication skills to convey complex actuarial concepts to non ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... data-informed hiring decisions * Deep understanding of recruiting best practices, tools, and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Strong ability to analyze data and metrics, using insights to drive strategy and make informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... data-informed hiring decisions * Deep understanding of recruiting best practices, tools, and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Strong ability to analyze data and metrics, using insights to drive strategy and make informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Strong ability to analyze data and metrics, using insights to drive strategy and make informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... data-informed hiring decisions * Deep understanding of recruiting best practices, tools, and ...

Physics Informed Machine Learning information

See Orem, UT salary details

$4

$17

$22

How much do physics informed machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for physics informed machine learning in Orem, UT is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $10.87 and $22.16 per hour, depending on experience, location, and employer.

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 Orem, UT? For Physics Informed Machine Learning jobs in Orem, UT, the most frequently searched job titles are:
Senior Data Scientist

Senior Data Scientist

ZimZee Recruiting

Lehi, UT • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

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Job description

ZimZee Recruiting is seeking an experienced Senior Data Scientist to join our client in Lehi, Utah. This individual contributor role is ideal for someone who enjoys working at the intersection of signal processing, machine learning, and biomedical research. You will play a key role in designing, validating, and deploying algorithms that transform complex physiological signals into clinically meaningful health insights.


Skills and Requirement

  • 6–8+ years of hands-on experience in data science, machine learning, or machine learning engineering with a history of building and validating production-quality models
  • Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow
  • Experience working with physiological signals or biomedical data, including wearable devices, clinical monitoring, neuroscience, sports science, or related domains
  • Strong foundation in signal processing, statistical modeling, and machine learning for time-series data
  • Experience developing models using limited or sparse datasets while understanding overfitting, model generalization, and validation best practices
  • Ability to read, evaluate, and implement approaches from scientific literature
  • Experience with interpretable or physically informed modeling techniques and an appreciation for explainable machine learning
  • Familiarity with MLOps concepts such as model versioning, reproducibility, monitoring, CI/CD, or deployment to edge, mobile, or cloud environments


Key Responsibilities

  • Design, develop, and optimize signal processing pipelines for multimodal physiological sensor data, including PPG, bioimpedance, galvanic skin response, temperature, and IMU signal
  • Build, validate, and improve predictive machine learning models that generate clinically meaningful physiological metrics from wearable sensor dat
  • Evaluate and recommend modeling approaches that balance interpretability, scientific rigor, and predictive performanc
  • Collaborate with data scientists, engineers, clinical researchers, and hardware teams to translate physiological research into production-ready algorithm
  • Help establish and improve MLOps practices, including model versioning, deployment workflows, monitoring, and reproducibility standard
  • Contribute to experimental design, algorithm validation, and data collection efforts for both laboratory and human-subject studies

Company Description

ZimZee Recruiting is a full-service recruiting and professional placement firm for both clients and candidates. We are located in Utah and serve both local and national needs. ZimZee Recruiting is passionate about recruiting, and our team members are focused, hardworking, and willing to go the extra mile to help fill a position or a new role for you. Our strong ethics and values provide an unmatched level of satisfaction for everyone involved with our team.
Our business team is passionate, dedicated and highly motivated to tackle the daily challenges of a fast-growing technology company. We aim to constantly improve our sales and marketing processes to grow at a fast pace.