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Physics Based Machine Learning Jobs in Rancho Santa Margarita, CA

... the model based on test results 7. Document relevant artefacts for communicating with the business 8. Work with data scientists to deploy the models. 9. Work with product teams in planning and ...

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ... This base pay is for illustrative purposes only and will be determined based on skills and ...

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ... This position also qualifies for up to 10% annual bonus based on Company, department, and ...

... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ... This base pay is for illustrative purposes only and will be determined based on skills and ...

... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ... This base pay is for illustrative purposes only and will be determined based on skills and ...

Machine Learning Engineer

Aliso Viejo, CA · On-site

$109K - $144K/yr

... the model based on test results 6. Document relevant artefacts for communicating with the business 7. Work with data scientists to deploy the models. 8. Work with product teams in planning and ...

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Physics Based Machine Learning information

See Rancho Santa Margarita, CA salary details

$5

$21

$27

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

As of Aug 10, 2026, the average hourly pay for physics based machine learning in Rancho Santa Margarita, CA is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $27.60 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 cities near Rancho Santa Margarita, CA are hiring for Physics Based Machine Learning jobs? Cities near Rancho Santa Margarita, CA with the most Physics Based Machine Learning job openings:
Infographic showing various Physics Based Machine Learning job openings in Rancho Santa Margarita, CA as of August 2026, with employment types broken down into 75% Full Time, 13% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,183 per year, or $21.7 per hour.

Machine Learning Engineer

Compunnel

Aliso Viejo, CA • On-site

Contractor

Posted 13 days ago


Job description

plaintext
JOB SUMMARY
Design and develop ML solutions, that will enable intelligent experiences and provide value. Formulate AI scope by working collaboratively with business, technology, and product teams to understand the product objectives with some guidance from Specialist 1.
Key Responsibilities
1. Identify and formulate business problem to AI / ML related problems; identifying and communicating AI Scope with stake holders
2. Executes relevant data wrangling activities related to the problem
3. Conduct ML experiments to understand the feasibility; building baseline models to solve the business problem
4. Fine tune the model for optimum performance
5. Test Models internally per acceptance criteria from business
6. Identify areas and techniques to optimize the model based on test results
7. Document relevant artefacts for communicating with the business
8. Work with data scientists to deploy the models.
9. Work with product teams in planning and execution of new product releases.
10. Set OKRs and success steps for self/ team and provide feedback of goals to team members
11. Identify metrics for validating the models, with the ability to communicate the same in business terms to the product teams.
12. Keep track of trends and do rapid prototyping to understand the feasibility of using it in existing solutions
13. Visualise and build more complex models / solutions which address scalable solutions. Work with product teams in planning and execution of new product releases
14. Mentor junior data scientists in their delivery solutions
15. Work with product design and product management teams identifying design interventions of ML Models with guidance from Specialist ML Engineer I

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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