ZipRecruiter

Log In

1

Physics Informed Machine Learning Jobs in Burlington, MA

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

... physics, and data science. We use our expertise and creativity to take innovative ideas from ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... physics, and data science. We use our expertise and creativity to take innovative ideas from ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

previous pagenext page

Showing results 21-40

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Burlington, MA

Physics Informed Machine Learning information

See Burlington, MA salary details

$5

$21

$27

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

As of Aug 18, 2026, the average hourly pay for physics informed machine learning in Burlington, MA is $21.83, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $27.74 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

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 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 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 popular job titles related to Physics Informed Machine Learning jobs in Burlington, MA?

For Physics Informed Machine Learning jobs in Burlington, MA, the most frequently searched job titles are:

What cities near Burlington, MA are hiring for Physics Informed Machine Learning jobs?

Cities near Burlington, MA with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Burlington, MA as of August 2026, with employment types broken down into 6% Internship, 39% Full Time, 49% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,409 per year, or $21.8 per hour.

Research Engineer, Machine Learning

Basis Research Institute

Cambridge, MA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Basis Research Institute is a nonprofit applied AI research organization focused on understanding and building intelligence. They are seeking a Research Engineer specializing in Machine Learning to translate research ideas into high-quality code while engaging in programming language design and contributing to the organization's culture.
Responsibilities:
• Translate research ideas into correct, robust, and scalable high-quality code.
• Engage in programming language design/implementation.
• Performance engineering, scaling research code.
• Algorithm development.
• Contribute to the culture and direction of Basis.
• (Optionally) Publish and present findings in journals and conferences.
Qualifications:
Required:
• Possess excellent programming and software engineering skills, especially in Julia, Python, C++, ML-family languages.
• Have demonstrated the ability to drive software projects from start to finish. This could be evidenced by open-source projects, technical reports, and publications.
• Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML.
• Progress with a high degree of autonomy and under uncertainty.
• Be enthusiastic about solving real-world problems and making a positive societal impact.
• Have demonstrated significant technical achievements within ML engineering. Examples include: You've implemented variants of newly published techniques from scratch. You've built systems and workflows for training large models distributed across many machines. You've built systems that span all levels of the programming stack from high-level API infrastructure to close-to-the-metal code.
Preferred:
• A PhD (or equivalent experience) in technical areas including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
Company:
Basis is a nonprofit applied research organization with two mutually reinforcing goals. The first is to understand and build intelligence. Founded in 2022, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply