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Physics Based Machine Learning Jobs (NOW HIRING)

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning ... The ideal candidate will possess hands-on experience with Azure Databricks, Python-based model ...

Proficiency in AI + physics-based machine learning. * Working understanding of material science fundamentals * Strong foundation in applied statistics, experimental design, and probabilistic modeling.

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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 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:
Infographic showing various Physics Based Machine Learning job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Roberts Recruiting

Boston, MA • On-site

Other

Medical, Dental, PTO

Posted 10 days ago


Job description

We're looking for a smart, friendly, and dedicated machine learning engineers to help build new features and products. As a company, we're customer and sales-driven in every technical decision we make. As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured data sources. You will design and build customized, large-scale cloud-based machine learning systems. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers and UX Designers, collaborating in a fast-paced, small-team environment.
We're looking for teammates with:
  • BS in computer science or computer engineering required, MS preferred
  • Broad knowledge of machine learning and deep learning models and its applications using standard tools including Tensorflow/Keras
  • Backend development experience with a strong interest in work involving data pipelines, distributed systems, performance analysis, and/or large-scale data processing
  • Natural language processing experience including named-entity recognition and text classification is a plus
  • Strong Python skills and Python ML stack (pandas, scikit-learn, numpy, etc.) with knowledge of Object-Oriented Programming
  • Fluency in SQL and Database Management
  • Experience with software engineering practices (e.g. Agile, unit testing, code reviews, design documentation)
  • Excellent communication and collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences
By taking this job, you'll get:
  • MacBook Pro
  • Two HD monitors
  • Unlimited vacation
  • Stock options
  • All you can eat snacks
  • Great health and dental benefits
  • Company swag (we have the best socks in Boston)
  • Chance to build something amazing from the ground floor
  • Friendly commuting options to Downtown Crossing