They are seeking a Machine Learning Scientist to join a research team focused on developing next ... existing physics-based models into a master virtual model, and establish the necessary ...
New
They are seeking a Machine Learning Scientist to join a research team focused on developing next ... existing physics-based models into a master virtual model, and establish the necessary ...
New
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... physics-based modeling and simulation tools. * Collaborate closely with the talented team of ...
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... physics-based modeling and simulation tools. * Collaborate closely with the talented team of ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
These positions will be filled at either level based on knowledge and related experience as ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
These positions will be filled at either level based on knowledge and related experience as ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
These positions will be filled at eitherlevel based on knowledge and related experience as assessed ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
These positions will be filled at eitherlevel based on knowledge and related experience as assessed ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
Physics-Informed Machine Learning Specialist
Livermore, CA · On-site
$9.7K/wk
These positions will be filled at either level based on knowledge and related experience as ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
Physics-Informed Machine Learning Specialist
Livermore, CA · On-site
$9.7K/wk
These positions will be filled at either level based on knowledge and related experience as ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
They are seeking a Machine Learning Scientist to join their research team, focusing on developing ... existing physics-based models into a master virtual model, and establish the necessary ...
New
They are seeking a Machine Learning Scientist to join their research team, focusing on developing ... existing physics-based models into a master virtual model, and establish the necessary ...
New
The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy ...
Quick apply
The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy ...
The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy ...
The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy ...
The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy ...
The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy ...
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the ...
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the ...
Machine Learning Specialist
New York, NY · On-site
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the ...
Quick apply
Machine Learning Specialist
New York, NY · On-site
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the ...
Machine Learning Specialist
New York, NY · On-site
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the ...
Machine Learning Specialist
New York, NY · On-site
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the ...
They are seeking a Principal Machine Learning Researcher to lead the development of advanced ... physics with data-driven learning. • Lead the formulation of learning-based models used for ...
They are seeking a Principal Machine Learning Researcher to lead the development of advanced ... physics with data-driven learning. • Lead the formulation of learning-based models used for ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ... Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ... Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ... Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ... Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow ...
Seismologist
Los Angeles, CA · On-site
Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations * Employ physical, statistical, or machine learning-based methods for ...
Seismologist
Los Angeles, CA · On-site
Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations * Employ physical, statistical, or machine learning-based methods for ...
Seismologist
Los Angeles, CA · On-site
Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations * Employ physical, statistical, or machine learning-based methods for ...
Quick apply
Seismologist
Los Angeles, CA · On-site
Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations * Employ physical, statistical, or machine learning-based methods for ...
Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations * Employ physical, statistical, or machine learning-based methods for ...
Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations * Employ physical, statistical, or machine learning-based methods for ...
Physics Based Machine Learning information
See salary details
$5.29 - $7.12
0% of jobs
$7.12 - $8.96
0% of jobs
$8.96 - $10.80
0% of jobs
$10.80 - $12.63
24% of jobs
$12.72 is the 25th percentile. Wages below this are outliers.
$12.63 - $14.47
16% of jobs
$14.47 - $16.30
0% of jobs
$16.30 - $18.14
0% of jobs
$18.14 - $19.97
0% of jobs
$19.97 - $21.81
0% of jobs
The median wage is $22.25 / hr.
$21.81 - $23.65
40% of jobs
$23.65 - $25.48
19% of jobs
$5
$20
$25
How much do physics based machine learning jobs pay per hour?
As of Jun 25, 2026, the average hourly pay for physics based machine learning in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 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.
More about Physics Based Machine Learning jobs
What cities are hiring for Physics Based Machine Learning jobs? Cities with the most Physics Based Machine Learning job openings:
What states have the most Physics Based Machine Learning jobs? States with the most job openings for Physics Based Machine Learning jobs include:
What job categories do people searching Physics Based Machine Learning jobs look for? The top searched job categories for Physics Based Machine Learning jobs are:
- Full Time No Experience Machine Learning
- Machine Learning Engineer Associate
- Machine Learning Operations Engineer
- Freelance Google Machine Learning Engineer
- Banister Pipeline
- Online Machine Learning
- Patterned Learning Ai
- Machine Learning Engineer Quantization
- Remote Director Machine Learning
- Machine Learning Biomedical Engineer
ASML rating
9.3
Based on 39 frontline employees who took The Breakroom Quiz
9th of 419 rated machine equipment manufacturers
Job description
Job Summary:
ASML US, LP is a leading company in the development of advanced lithography machines essential for producing microchips. They are seeking a Machine Learning Scientist to join a research team focused on developing next-generation light source technologies, where the role involves building integrated frameworks and optimizing system-level performance through machine learning methodologies.
Responsibilities:
• Establish a scalable data management framework spanning legacy and new datasets from test benches and source prototypes, ensuring data quality, accessibility, and structured readiness for seamless integration into ML workflows.
• Develop physics-informed machine learning models and scientific simulations to enable system-level tradeoff analysis and drive the definition and optimization of lithography source technology configurations.
• Adapt and integrate existing physics-based models into a master virtual model, and establish the necessary infrastructure for deployment and maintenance.
• Propose experimental anchoring studies, analyze test results, reduce model uncertainty through correlation building, and extract actionable knowledge from submodule- to full-system-level analysis.
• Provide input to technology roadmaps, identify de-risking activities and key scientific learning objectives, and contribute to experimental design to establish design guidelines, performance requirements, and procedures for product teams.
• Troubleshoot code and algorithms required for source operation, data streaming, storage, and queries.
• Document learnings and communicate knowledge to engineering and product development teams to guide product improvement and the release of new product nodes.
• Work independently and collaboratively to deliver on stated objectives, whether pursuing new knowledge, demonstrating new capabilities, or characterizing existing performance.
• Perform other duties as assigned or required.
Qualifications:
Required:
• Ph.D. with a minimum of 3+ years of experience or a Master’s degree with at least 6+ years of experience in an analytical field such as mathematics, physics, or engineering, with extensive experience in physics-informed machine learning and model integration into scalable master models.
• Experience solving complex, open-ended modeling problems using optimization and deep learning methodologies, with strong expertise in data management and building scalable data and training pipelines for end-to-end model development and training.
• Strong software development skills in Python, with experience in deep learning frameworks (e.g. PyTorch or JAX); proficiency in C/C++, and Matlab is a plus.
• Experience with database tools, automation frameworks, and experimental tracking platforms (e.g. MLflow) for managing end to end ML lifecycle.
• Experience working in cloud and development environments such as Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, and related technologies is a plus.
• Ability to clearly and logically communicate ideas and knowledge to various audiences.
• Demonstrated ability to work effectively as a part of a team and lead investigation and research efforts involving multiple stakeholders and constraints.
• Proven ability to build trust and credibility, enabling effective leadership through influence.
• The successful candidate will not only have excelled in their technical field, but will have demonstrated inter-personal and communications strengths.
• Deep understanding of scientific research methods and strong curiosity.
Company:
ASML is a manufacturer of chip-making equipment. Founded in 1984, the company is headquartered in Veldhoven, NLD, with a team of 10001+ employees. The company is currently Late Stage.
ASML US, LP is a leading company in the development of advanced lithography machines essential for producing microchips. They are seeking a Machine Learning Scientist to join a research team focused on developing next-generation light source technologies, where the role involves building integrated frameworks and optimizing system-level performance through machine learning methodologies.
Responsibilities:
• Establish a scalable data management framework spanning legacy and new datasets from test benches and source prototypes, ensuring data quality, accessibility, and structured readiness for seamless integration into ML workflows.
• Develop physics-informed machine learning models and scientific simulations to enable system-level tradeoff analysis and drive the definition and optimization of lithography source technology configurations.
• Adapt and integrate existing physics-based models into a master virtual model, and establish the necessary infrastructure for deployment and maintenance.
• Propose experimental anchoring studies, analyze test results, reduce model uncertainty through correlation building, and extract actionable knowledge from submodule- to full-system-level analysis.
• Provide input to technology roadmaps, identify de-risking activities and key scientific learning objectives, and contribute to experimental design to establish design guidelines, performance requirements, and procedures for product teams.
• Troubleshoot code and algorithms required for source operation, data streaming, storage, and queries.
• Document learnings and communicate knowledge to engineering and product development teams to guide product improvement and the release of new product nodes.
• Work independently and collaboratively to deliver on stated objectives, whether pursuing new knowledge, demonstrating new capabilities, or characterizing existing performance.
• Perform other duties as assigned or required.
Qualifications:
Required:
• Ph.D. with a minimum of 3+ years of experience or a Master’s degree with at least 6+ years of experience in an analytical field such as mathematics, physics, or engineering, with extensive experience in physics-informed machine learning and model integration into scalable master models.
• Experience solving complex, open-ended modeling problems using optimization and deep learning methodologies, with strong expertise in data management and building scalable data and training pipelines for end-to-end model development and training.
• Strong software development skills in Python, with experience in deep learning frameworks (e.g. PyTorch or JAX); proficiency in C/C++, and Matlab is a plus.
• Experience with database tools, automation frameworks, and experimental tracking platforms (e.g. MLflow) for managing end to end ML lifecycle.
• Experience working in cloud and development environments such as Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, and related technologies is a plus.
• Ability to clearly and logically communicate ideas and knowledge to various audiences.
• Demonstrated ability to work effectively as a part of a team and lead investigation and research efforts involving multiple stakeholders and constraints.
• Proven ability to build trust and credibility, enabling effective leadership through influence.
• The successful candidate will not only have excelled in their technical field, but will have demonstrated inter-personal and communications strengths.
• Deep understanding of scientific research methods and strong curiosity.
Company:
ASML is a manufacturer of chip-making equipment. Founded in 1984, the company is headquartered in Veldhoven, NLD, with a team of 10001+ employees. The company is currently Late Stage.
About ASML
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Chandler, AZ, US
Year founded
1973