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Physics Based Machine Learning Jobs in Pittsburgh, PA

... Physics, or related field. * 5+ years of experience delivering AI/ML solutions in production environments * Strong expertise in: * Machine learning and deep learning * Statistical modeling and ...

This position combines hands-on software development, machine learning workflows, and rigorous ... Work Environment This role is based on site in Pittsburgh, with a hybrid or remote schedule ...

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Physics Based Machine Learning information

See Pittsburgh, PA salary details

$5

$19

$24

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

As of Aug 9, 2026, the average hourly pay for physics based machine learning in Pittsburgh, PA is $19.48, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $24.76 per hour, depending on experience, location, and employer.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Pittsburgh, PA? For Physics Based Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Pittsburgh, PA look for? The top searched job categories for Physics Based Machine Learning jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Physics Based Machine Learning jobs? Cities near Pittsburgh, PA with the most Physics Based Machine Learning job openings:
Infographic showing various Physics Based Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Nights. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $40,513 per year, or $19.5 per hour.

AP Physics C: Mechanics Tutor

Varsity Tutors

Pittsburgh, PA • Remote

$18 - $40/hr

Part-time

Re-posted 5 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online AP Physics C: Mechanics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a AP Physics C: Mechanics Tutor
  • Advanced Subject Mastery: Deep knowledge of kinematics, Newton laws with calculus applications, work-energy theorem, impulse and momentum, rotational dynamics, oscillations, and gravitation as outlined in the AP Physics C Mechanics framework. Ability to explain calculus-based derivations of kinematic equations, moment of inertia calculations, and Lagrangian concepts while preparing students for success on the AP Physics C Mechanics examination.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down calculus-based force analysis, rotational energy problems, and oscillatory motion equations. Guides students through integrating force functions, solving differential equations for simple harmonic motion, analyzing collisions with calculus, and deriving gravitational potential energy expressions. Emphasizes mathematical rigor and connects mechanics to aerospace engineering and advanced physics research.
  • Curriculum Awareness & Adaptive Instruction: Familiar with AP Physics C Mechanics curriculum and common challenges such as applying calculus to non-uniform acceleration, computing moments of inertia for complex shapes, and solving coupled rotation-translation problems. Adapts instruction using calculus-integrated worked examples, simulation tools, and AP free-response practice to support students concurrently enrolled in calculus courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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