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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 remote based in the San ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...

Apple

Machine Learning FEA Engineer

San Francisco, CA · On-site

... based on predictive finite element simulations and important design load cases. The machine ... physics and mechanicsProficiency in Python and relevant packages for MLOutstanding communication ...

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 ...

Bayer

Principal Machine Learning Scientist

Cambridge, MA · On-site

$123K - $185K/yr

Principal Machine Learning Scientist The Principal Machine Learning Scientist will develop novel ... Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or ...

Bayer

Principal Machine Learning Scientist

Cambridge, MA

$123K - $185K/yr

Principal Machine Learning Scientist The Principal Machine Learning Scientist will develop novel ... Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or ...

Bayer

$123K - $185K/yr

Principal Machine Learning Scientist The Principal Machine Learning Scientist will develop novel ... Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or ...

ARA

Research Engineer - AI/ML

Raleigh, NC · On-site

The role involves software tool development, physics-based modeling, machine learning, and working collaboratively with a multi-disciplinary team to solve complex problems. Responsibilities : • ...

Booz Allen Hamilton

Machine Learning Research Engineer

$209K/yr

... physics-aware foundational models for remote sensing applications. The role involves training ... with transformer-based models, self-supervised learning, multi-task learning, or large-scale ...

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

As of Jun 5, 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.

More about Physics Based Machine Learning jobs
What cities are hiring for Physics Based Machine Learning jobs? Cities with the most Physics Based Machine Learning job openings:
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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 May 2026, with employment types broken down into 2% As Needed, 61% Full Time, and 37% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 12 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Do you love taking on big challenges that require exceptionally creative solutions? .The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience Experience with software coding in Python. Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch.
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.Experience or strong personal curiosity with designing imaging and sensing systems. Strong independent problem-solving and communication skills.Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge computer vision and machine learning research trends and models. Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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