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Physics Informed Machine Learning Jobs in Boston, MA

Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...

Transform machine learning models into APIs to interact with other applications. * Use expert ... Staying Informed About Your Application: Due to the high volume of applications, we may not always ...

Transform machine learning models into APIs to interact with other applications. * Use expert ... Staying Informed About Your Application: Due to the high volume of applications, we may not always ...

Machine Learning Engineer

Cambridge, MA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or ...

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Physics Informed Machine Learning information

See Boston, MA salary details

$5

$21

$27

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

As of May 30, 2026, the average hourly pay for physics informed machine learning in Boston, MA is $21.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $27.69 per hour, depending on experience, location, and employer.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
What cities near Boston, MA are hiring for Physics Informed Machine Learning jobs? Cities near Boston, MA with the most Physics Informed Machine Learning job openings:
Co-op in Applied Materials Research - Modeling & Pigment Dynamics C1HB

Co-op in Applied Materials Research - Modeling & Pigment Dynamics C1HB

E Ink

Billerica, MA

$28 - $40/hr

Full-time

Medical, Vision, Retirement

Posted 19 days ago


Job description

Team up with the most innovative company where Imagination becomes reality!  E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development team is thriving and growing as we help develop products that are changing how people access information every day.  We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.

Based on technology from MIT’s Media Lab, E Ink has transformed and defined the eReader market. Its Electrophoretic Display products make it the worldwide leader for ePaper. The Company’s corporate philosophy aims to deliver revolutionary products, user experiences and environmental benefits through advanced technology development.

Our diversity of people, backgrounds, experiences, thoughts and perspectives is fostered to create an inclusive work environment.

Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.

We’re looking for a Co-op in Applied Materials Research!

 About the Position:

This is a six-month co-op starting in July 2026 in the Research and Advanced Development group.  The Co-op will work directly with our scientists and will have the opportunity to get substantial research experience and to work independently on projects.

In this role, the candidate will contribute to the development of a comprehensive, physics-informed model that captures the behavior of electrophoretic pigments in next-generation ePaper systems. The primary objective is to build models that approximate:

  • The dynamics of pigment motion under applied electrical waveforms (voltage vs. time)
  • The resulting optical properties across different particle configurations and device states

This work will involve combining coarse-grained modeling approaches with data-driven techniques, including neural networks, to bridge multiple length and time scales. The candidate will collaborate closely with scientists to integrate simulation, theory, and experimental validation.

Tasks will be varied and include opportunities to learn about encapsulation technologies, make/modify pigments and test some of the display components as well as work with the final devices using the latest E Ink technology. 

The co-op must exhibit safe lab practices at all times and be capable of continuously learning new equipment and laboratory techniques. 

 Responsibilities:

  • Develop multiscale and coarse-grained models to describe pigment behavior in electrophoretic systems
  • Build physics-informed or data-driven models (e.g., neural networks) to capture pigment dynamics under applied electric fields
  • Perform force field parameterization and optimization for particle-level simulations
  • Simulate and analyze electro-optical responses as a function of waveform and material properties
  • Conduct wet chemistry experiments to formulate and encapsulate ink systems (coacervation, UV-curable polymers, etc.)
  • Test electrical and electro-optical performance of polymers
  • Organize chemical property data of materials and work with scientists to design and carry out experiments
  • Document the results of project landmarks and deliver project presentations to a technical community

Qualifications:

  • Student pursuing a Master’s or Ph.D. in Physics, Polymer Science, Chemical Engineering, Chemistry or Material Science
  • Strong background in physics-based modeling and simulation
  • Experience with coarse-graining or multiscale modeling techniques
  • Familiarity with neural networks / machine learning for physical systems
  • Experience in force field development or parameter optimization
  • Strong data analysis and programming skills (e.g., with Python, MATLAB, or similar)
  • Strong materials characterization and data analysis skills
  • Good technical writing and oral communication skills
  • Good organization skills and the capacity to manage own schedule

Preferences:

  • Understanding of colloids, soft matter physics, and surface science
  • Experience with electrokinetics, colloidal transport, or particle dynamics under external fields (electric, magnetic, or flow fields)
  • Hands-on experience with wet lab experiments and materials characterization
  • Familiarity with electro-optical measurements or display technologies

 Benefits:

  • Medical coverage
  • 3.08 hours of ITO (Intern time off) per payroll
  • 401(k)
  • Casual day to day work environment

E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law.

Salary Range Disclosure: The hourly pay range for this position is $28.00 to $40.00.  The salary range for this position reflects a reasonable estimate at the time of posting and may vary based on factors such as experience, skills, education, certifications, and location.


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About E Ink

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

51 - 200 Employees

Headquarters location

Billerica, MA, US

Year founded

1997

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