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Physics Informed Machine Learning Jobs in Riverside, CA

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 ...

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 ...

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 ...

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... Physics or related field. * Minimum of 3 years of industry experience in developing and implementing machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C ...

AI Engineer

Irvine, CA · On-site

$50K - $112K/yr

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Staff Reliability/FA Engineer

Irvine, CA · On-site

$114K - $220K/yr

In addition, proficiency in using software (machine learning, automation tools) is desired to help ... Generating product qualification plans based on the physics of failure approach and with an ...

Staff Reliability/FA Engineer

Irvine, CA · On-site

$114K - $220K/yr

In addition, proficiency in using software (machine learning, automation tools) is desired to help ... Generating product qualification plans based on the physics of failure approach and with an ...

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Physics, or a related technical field required. Master's or PhD degree preferred. Language ...

Engineer II, Algorithm

Irvine, CA · On-site

$120K - $150K/yr

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Physics, or a related technical field required. Master's or PhD degree preferred. Language ...

CTIO AI Engineering Manager

Irvine, CA · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

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Physics Informed Machine Learning information

See Riverside, CA salary details

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

As of Aug 25, 2026, the average hourly pay for physics informed machine learning in Riverside, CA is $20.93, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $26.59 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Physics Informed Machine Learning jobs in Riverside, CA?

For Physics Informed Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Riverside, CA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Physics Informed Machine Learning jobs?

Cities near Riverside, CA with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,536 per year, or $20.9 per hour.

Senior Software Engineer, Robotics

Irvine, CA • On-site


Anduril Industries
Guided Missile and Space Vehicle Manufacturing • 501 - 1,000 employees

9.1

Company rating: 9.1 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Great coworkers

People enjoy working here

Good employer


$131K - $173K/yr

Full-time

Re-posted 19 days ago


Job description

ABOUT THE JOB

At Anduril, our Software Engineers are at the forefront of defense technology, crafting high-impact, cutting-edge solutions that redefine innovation. You'll dive into a diverse range of projects, partnering with brilliant minds across disciplines to engineer robust software systems that empower our mission-critical operations. We're seeking talented robotics software engineers on several teams to contribute to projects that are shaping the future of defense. Potential areas of focus include: Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion, Perception, and Motion and Behavioral Planning.

WHAT YOU'LL DO
  • Engineer robust software for autonomous robotics, focusing on perception, planning, and control to drive mission-critical operations.
  • Tackle challenging real-world problems by building scalable and reliable software solutions for our next-generation robotic platforms, directly impacting mission success and technological advancement.
  • Contribute to the full software development lifecycle, from algorithm research and prototyping to implementation, testing, and deployment, in a fast-paced, multidisciplinary environment.
  • Innovate to enhance processes and systems, driving ongoing excellence while executing rigorous testing and seamless deployment of code.
REQUIRED QUALIFICATIONS
  • Solid Engineering Fundamentals: A strong academic background in Computer Science, Software Engineering, Mathematics, or Physics, enabling you to tackle complex technical challenges.
  • Proficient C++ Developer: Minimum of 5 years of hands-on experience developing production-ready software solutions in C++.
  • Building Data-Driven Innovations: Demonstrated success in creating software for large-scale data processing and advanced analysis, enabling informed decision-making.
  • Mastering Complex Systems: Aptitude for quickly learning and effectively contributing within sophisticated, established software systems and codebases.
  • Driven by Real-World Impact: A proactive drive and enthusiasm for developing mission-critical software that demonstrably changes the world.
  • Eligible to obtain and maintain an active U.S. Top Secret security clearance.

This job post is inclusive of openings within various teams. Successful candidates will be matched to a specific team at a subsequent stage of the recruitment process.

The roles considered for this job post may require travel. The extent of travel will vary by role.


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

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