1

Physics Informed Machine Learning Jobs in Orem, UT

Senior Learning Designer, Science

Lehi, UT ยท On-site

$100K - $170K/yr

... 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 ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You accurately assess marketplace and regulatory risk, enabling confident and data-informed ...

Senior Product Manager, Chief Accounting Office

Lehi, UT ยท On-site

$118K - $156K/yr

... machine learning capabilities to transform how Adobe's finance organization operates. You will ... Product Strategy & Technology-Informed Roadmap Own and evolve the multi-year product roadmap for S ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You accurately assess marketplace and regulatory risk, enabling confident and data-informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You accurately assess marketplace and regulatory risk, enabling confident and data-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 ... 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 ...

... informed, and on a path that helps them find and own their edge. Our Core Values are lived in our ... Are committed to professional growth and enjoy learning new skills * Have exceptional written and ...

... informed, and on a path that helps them find and own their edge. Our Core Values are lived in our ... Are committed to professional growth and enjoy learning new skills * Have exceptional written 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 Jun 19, 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:
What cities near Orem, UT are hiring for Physics Informed Machine Learning jobs? Cities near Orem, UT with the most Physics Informed Machine Learning job openings:
Senior Learning Designer, Science

Senior Learning Designer, Science

Outsmart

Lehi, UT โ€ข On-site

$100K - $170K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago


Job description

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1-5 million weekly organic views on social media.
What You'll Be Doing
You'll work with a highly talented and collaborative team to develop Outsmart's math learning experience from curriculum architecture through content creation, assessment design, and learner feedback loops. You'll work closely with product managers, engineers, and fellow learning designers to build rigorous, engaging, and scalable math courses that bring joy back to learning. As an AI-native company, you'll also shape how AI tools and data insights are woven into curriculum development, content generation, and continuous improvement.
Who You Are
  • Advanced degree in a core science discipline, Science Education, or a closely related field preferred
  • 3+ years designing college level science curriculum (online or hybrid experience a plus)
  • Broad scientific fluency - comfortable stewarding courses across multiple disciplines, not just your home field
  • Proven experience building technology-enabled learning experiences in collaboration with product and engineering teams
  • Fluency with education technology and AI-assisted content workflows
  • Familiarity with science education standards and frameworks (e.g., NGSS, scientific practices, inquiry-based design)
  • Strong communicator who can translate pedagogical rationale for non-technical audiences
  • Bonus: experience with virtual labs, simulation-based learning, A/B testing educational content, or app-based course design

What You'll Work On
  • Science curriculum end-to-end - course architecture, learning outcomes, sequencing, and mastery-based progression across biology, chemistry, physics, and earth sciences
  • Assessment strategy - formative and summative assessments that accurately measure scientific understanding and inform course iteration
  • Interactive content and tooling - virtual labs, simulations, data visualizations, and interactive notebooks that make abstract concepts tangible
  • AI-assisted content pipelines - developing and validating workflows that use AI to generate, review, and scale high-quality science content
  • Data-informed iteration - interpreting qualitative and quantitative learner data to identify gaps, improve engagement, and drive efficacy
  • Cross-functional collaboration - working with Product, Engineering, and Learning Design to ship technology-enabled science experiences on schedule

What Helps You Succeed
  • You thrive in ambiguity and are energized by building from scratch
  • You balance academic rigor with startup pragmatism - you know when to ship and iterate
  • You think like a product builder, not just a subject-matter expert - you care about the learner experience at every click
  • You take ownership without being asked and surface risks early
  • You're excited about AI's role in education and know where human judgment is non-negotiable
  • You care deeply about access and the students behind every learning outcome

Salary Range: $100K-$170K
Perks
  • Competitive salary and equity
  • Healthcare for you and your dependents (medical, dental, and vision)
  • Parental leave for any full-time employee who has been with us for at least 6 months (birthing, non-birthing, and adoptive parents)
  • 15 PTO days per year, a winter break, and 12+ paid company holidays per year
  • Remote work days
  • Lunch provided in-office daily
  • Working with super talented people who want to make a difference in the world

Outsmart is committed to building an equitable and inclusive workplace and is proud to be an equal opportunity employer. We consider all qualified applicants for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other characteristic protected by applicable law.