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Physics Based Machine Learning Jobs (NOW HIRING)

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...

Skild AI

Machine Learning Engineer

San Mateo, CA

... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ... Experience with physics simulation engines and tools for training RL. * Deep understanding of ...

Apple

Machine Learning FEA Engineer

San Francisco, CA · On-site

... based on predictive finite element simulations and important design load cases. The machine ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...

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

As of Jul 16, 2026, the average hourly pay for physics based machine learning in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What types of projects or problems does a Physics Based Machine Learning professional typically work on?

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 job?

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 the Physics Based Machine Learning position, and why are they important?

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.

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Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.
Staff Software Computational Engineer

Staff Software Computational Engineer

Lam Research Corporation

Austin, TX • On-site

Full-time

Re-posted 27 days ago

Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

46th of 430 rated machine equipment manufacturers

Job description

The group you'll be a part of
The Office of the CTO is where innovation takes center stage. We empower our global technical community to tackle bold challenges, anticipate emerging trends, and drive critical inflection points. Together, we're shaping the next generation of semiconductors while advancing our sustainability and Environmental, Social, and Governance (ESG) commitments.
The impact you'll make
You will work with the plasma physics development team for Semiverse Solutions in the Austin, Texas office. As a Staff Computational Software Software Development Engineer at Lam, you will be at the forefront of innovation by developing and enhancing VizGlow, Lam's plasma physics solver. Your role is pivotal in improving reactor hardware design, optimizing process recipes, and advancing the fundamental understanding of the physics within reactor chambers. By developing software tools that support these critical areas, you will directly impact Lam's ability to deliver cutting-edge solutions.
What you'll do
  • Develop and enhance plasma physics code with a focus on non-equilibrium plasmas, electromagnetics, reactive flows, and surface chemistry.
  • Implement and optimize algorithms in C++ for high-performance computing applications.
  • Collaborate with physicists and engineers to integrate new models and features into the software.
  • Validate the operation and functionality of the plasma physics code through rigorous testing and debugging.
  • Author technical reports summarizing software performance, defects, and enhancement requests.
  • Participate in planning and design discussions with the software development team.
  • Maintain and improve the existing codebase to ensure reliability and performance.

Who we're looking for
Minimum Qualifications
  • Master's degree with 8+ years' relevant experience or PhD in physics, plasmas, fluid mechanics, or a related field with 5+ years' relevant experience
  • Experience developing flow solvers - pressure-based flow solver, multi-species reactive flows, turbulence modelling, radiation modelling, etc.
  • Experience developing HPC codes using MPI, multithreading, OpenMP, etc.
  • Proficiency in C++ software development.

Preferred qualifications
  • Knowledge of non-equilibrium plasmas, electromagnetics, reactive flows, and surface chemistry.
  • Experience developing large scale and/or commercial computational fluid dynamics (CFD) or multi-physics software packages such as COMSOL or Ansys Fluent.
  • Experience with GPU acceleration using libraries such as CUDA, Kokkos, etc.
  • Familiarity/awareness with physics-based machine learning (PINNS, Graph Neural Networks Neural Operators) optional but highly desirable
  • For candidates with the appropriate experience (Director+), open to level considerations

Our commitment
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

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Benefits

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Workplace

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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