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Physics Based Machine Learning Jobs in San Ramon, CA

Apiphany

Machine Learning Engineer

San Francisco, CA · Hybrid

$110K - $170K/yr

Our models understand physics principles, design specifications, and program constraints. We're a ... About the Role As a ML Engineer at Apiphany, you'll develop and implement advanced machine learning ...

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related ... Our research-based data, analytics and indexes, supported by advanced technology, set standards for ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related ... Our research-based data, analytics and indexes, supported by advanced technology, set standards for ...

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related ... Our research-based data, analytics and indexes, supported by advanced technology, set standards for ...

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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 Jun 18, 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
Infographic showing various Physics Based Machine Learning job openings in San Ramon, CA as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $46,635 per year, or $22.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apiphany

San Francisco, CA • Hybrid

$110K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Apiphany

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real‑time, actionable insights. Backed by world‑class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.

Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard‑tech and building a category‑defining company together.

About the Role

As a ML Engineer at Apiphany, you’ll develop and implement advanced machine learning models to tackle some of the hardest problems in the physical world. You’ll design systems that can reason about complex engineering data and build AI that understands physics, design constraints, and real‑world performance tradeoffs.

This is a role for builders who want to push the frontier of what AI can do in the physical world.

Experience & Skills
  • Expert‑level programming skills in Python
  • Solid understanding of deep learning and its applications in natural language processing (NLP)
  • Deep understanding of large language models (LLMs)
  • Exceptional problem‑solving skills and a passion for pushing the boundaries of AI technology.
Bonus Skills
  • Background in competitive programming.
  • Contributions to open‑source initiatives.
Personality & Values:
  • Startup mindset: bias toward action, rapid iteration, and ownership
  • Mission‑driven and customer‑obsessed
  • Self‑motivated, collaborative, and eager to raise the bar for the whole team
  • Passion for building in a fast‑paced, hyper‑growth startup environment.
Compensation & Benefits:
  • Base Salary: $110,000–$170,000
  • Equity: Generous Equity
  • Visa Sponsorship
  • Hybrid work: 3 days in San Francisco office
  • 401(k) plan
  • Medical, Dental, and Vision insurance coverage
  • Snacks at the office
  • Paid Time Off (PTO): Flexible vacation policy
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