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Physics Based Machine Learning Jobs in San Ramon, CA

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

This position will be filled at either level based on knowledge and related experience as assessed ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

nudge

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

... based device that can stimulate and image the brain at high resolution and depth. This is a ... Strong first-principles understanding of engineering, physics, and signal processing. * Experience ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ... Design and implement novel machine learning and deep learning models tailored to internal research ...

Nudge

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

... based device that can stimulate and image the brain at high resolution and depth. This is a ... Strong first-principles understanding of engineering, physics, and signal processing. * Experience ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ... Design and implement novel machine learning and deep learning models tailored to internal research ...

UnitX

Embodied AI Engineer

Milpitas, CA · On-site

... physics simulations and develop advanced machine learning paradigms for robotic systems, ensuring ... Construct highly accurate, physics-based simulation environments to identify and mitigate real ...

Amazon

Applied Scientist II

Sunnyvale, CA · On-site

... of physics-based simulation techniques, sim-to-real transfer methods, and machine learning approaches that enable rapid development, testing, and validation of robotic systems operating in complex ...

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Physics Based Machine Learning information

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

As of Jul 30, 2026, the average hourly pay for physics based machine learning in San Ramon, CA is $22.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $28.46 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.

What are popular job titles related to Physics Based Machine Learning jobs in San Ramon, CA? For Physics Based Machine Learning jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in San Ramon, CA look for? The top searched job categories for Physics Based Machine Learning jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Physics Based Machine Learning jobs? Cities near San Ramon, CA with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you

Member of Technical Staff - Simulation (Physics & Reinforcement Learning), Frontier AI Robotics

Amazon

San Francisco, CA

Full-time

Re-posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,023 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We are seeking a Member of Technical Staff Simulation Engineer to join our AI robotics research team developing foundation models for robotics. You will rapidly develop 3D physics-based and photorealistic simulations alongside scientists to enable training large-scale machine learning models.
Key job responsibilities
- Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation
- Implement essential robotics features, including accurate modeling of sensors, actuators, and controllers
- Build real-to-sim workflows for dynamic environments and robotics tasks
- Implement simulation features to minimize sim-to-real gaps through domain randomization and system identification
- Create asset toolchains supporting industry-standard formats (URDF, MJCF, USD)
- Collaborate closely with a team of ML researchers to enable large-scale robotics training pipelines
About the team
At Frontier AI & Robotics (FAR), we're not just advancing robotics - we're reimagining it from the ground up.

Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models

Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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