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Physics Based Machine Learning Jobs in San Ramon, CA

Amazon

Applied Scientist II

Sunnyvale, CA · On-site

This role centers on research and development of physics-based simulation techniques, sim-to-real transfer methods, and machine learning approaches that enable rapid development, testing, and ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

... based on experimental results and data-driven insights • Run controlled experiments to test ... of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

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

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

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 Manager

San Francisco, CA

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

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 Manager

San Francisco, CA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

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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 Sep 12, 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 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 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 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 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 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

Machine Learning: World Models

San Francisco, CA • On-site

The Bot Company
See more jobs at The Bot Companyexternal

$200K - $350K/yr

Full-time

Re-posted 18 days ago

Job description

The Bot Company
We're building a helpful robot for every home.
We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.
Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.
What we look for in all candidates
All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:
  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.
  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.
  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.
Machine Learning: World Models
We are building neural simulators that understand the "grammar" of the physical world, including physics, causality, and long-term dynamics.
You will develop video generation into controllable, large-scale world models.
What You'll Do
  • Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations.
  • Scale Training: Own the end-to-end training of multi-billion parameter models on huge clusters.
  • Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments-diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains.
Requirements
  • Very strong coding skills in Python, C++, or Rust.
  • Video Generation Expertise: Deep experience shipping/researching high-fidelity video models.
  • Architectural Intuition: Ability to design from scratch and reason about scaling laws and failure modes.
  • Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters.

Why Join
You'll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you'll thrive here.

Apply