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Physics Informed Machine Learning Jobs in Brea, CA

Google

Research Engineer

Los Angeles, CA · On-site

PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or ... Algorithm design for machine learning applications; Statistical analysis for machine learning;

Mantari

Software Engineer

Torrance, CA

Our autonomous edge sensing fleets, deep learning forecast models, and integrated customer decision ... Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to ...

Mantari

Software Engineer

Torrance, CA · On-site

Our autonomous edge sensing fleets, deep learning forecast models, and integrated customer decision ... Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

... data-informed decision-making. Responsibilities : • Identify, clean, and preprocess large datasets for analysis • Develop and implement machine learning algorithms and models • Analyze and ...

Deloitte

Senior AI Engineer - SFL Scientific

Los Angeles, CA · On-site

$112K - $154K/yr

... Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment • 4+ ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

... data-informed decision-making. Responsibilities : • Identify, clean, and preprocess large datasets for analysis • Develop and implement machine learning algorithms and models • Analyze and ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

Solid understanding of machine learning algorithms and statistical techniques Key Responsibilities ... Partner with product, engineering, and business teams to drive data-informed decisions

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue ... A good understanding of vehicle physics and automotive engineering, is preferred. * Passion for ...

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue ... A good understanding of vehicle physics and automotive engineering, is preferred. * Passion for ...

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue ... A good understanding of vehicle physics and automotive engineering, is preferred. * Passion for ...

Pwc

AI Engineer

Irvine, CA · On-site

$55K - $187K/yr

... machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision-making - Collaborating with internal teams to enhance data infrastructure and ...

Pwc

AI Engineer

Los Angeles, CA · On-site

$55K - $187K/yr

... machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision-making - Collaborating with internal teams to enhance data infrastructure and ...

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Physics Informed Machine Learning information

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$5

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$26

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

As of Aug 9, 2026, the average hourly pay for physics informed machine learning in Brea, CA is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $26.39 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?

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 cities near Brea, CA are hiring for Physics Informed Machine Learning jobs? Cities near Brea, CA with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you

Research Engineer

Google

Los Angeles, CA • On-site

Full-time

Posted 11 days ago

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

info_outline
X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Minimum qualifications:
  • PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
  • Alternatively, we will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Research Engineering- related occupation.
  • Position requires experience in the following: Python or C ; Algorithm design for machine learning applications; Statistical analysis for machine learning; Software engineering for large-scale ML projects; and Designing controlled experimental designing for machine learning analysis.

About the job
The US base salary range for this full-time position is $147,000 - $211,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .
Position reports to the Google Venice, CA office & may allow for a hybrid schedule per Google policy.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
  • Apply advanced machine learning models and research to solve high-impact, real-world problems through rapid prototyping and experimental design.
  • Develop high-quality, scalable code in Python or C by translating complex research concepts into robust algorithms and software libraries.
  • Train, evaluate, and iteratively improve the performance of machine learning models and agents throughout the entire research and development cycle.
  • Plan and execute multi-week projects, independently solving technical challenges and ensuring your work aligns with broader team goals.
  • Collaborate closely with research scientists and engineers, clearly communicating project plans, developments, and experimental results to diverse audiences. Provide software design expertise to research projects, writing effective design documents and contributing to the enhancement of team tools and processes.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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