ZipRecruiter

Log In

1

Physics Informed Neural Networks Jobs in Boston, MA

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$139K - $165K/yr

... math, physics, electrical engineering, computer science, or data science * Experience building and training neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow)

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... math, physics, electrical engineering, computer science, or data science * Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including ...

Nasdaq

Senior Data Scientist

Boston, MA · On-site

$95K - $166K/yr

Bachelor's degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering ... Fundamentals of Deep Learning (CNNs, RNNs, transformers and other types of Deep Neural Networks)

Nasdaq

Senior Data Scientist

Boston, MA · Hybrid

$95K - $166K/yr

Bachelor's degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering ... Fundamentals of Deep Learning (CNNs, RNNs, transformers and other types of Deep Neural Networks)

previous pagenext page

Showing results 21-40

All JobsPhysics Informed Neural Networks JobsPhysics Informed Neural Networks Jobs in Boston, MA

Physics Informed Neural Networks information

See Boston, MA salary details

$5

$21

$27

How much do physics informed neural networks jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for physics informed neural networks 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 neural network?

A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.

What are the key skills and qualifications needed to thrive in physics informed neural networks?

To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.

What does a physics informed neural network do?

In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.

What are popular job titles related to Physics Informed Neural Networks jobs in Boston, MA? For Physics Informed Neural Networks jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Neural Networks jobs in Boston, MA look for? The top searched job categories for Physics Informed Neural Networks jobs in Boston, MA are:
What cities near Boston, MA are hiring for Physics Informed Neural Networks jobs? Cities near Boston, MA with the most Physics Informed Neural Networks job openings:
Physics Informed Neural Networks jobs near you
Infographic showing various Physics Informed Neural Networks job openings in Boston, MA as of August 2026, with employment types broken down into 38% Full Time, 60% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $45,336 per year, or $21.8 per hour.

Lead Research Scientist - Machine Learning

STR

Woburn, MA

$174K - $220K/yr

Full-time

Re-posted 4 days ago

Job description

About the Team

STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Lead Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities, participate on and lead project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.

Who you are:

  • MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
  • Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
  • Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
  • Proficiency in one or more programming languages: Python, C/C++
  • Able to work, collaborate on, and lead multi-disciplinary teams
  • Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
  • Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government

Even better:

  • Active US government security clearance
  • Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
  • Experience with self-supervised machine learning
  • Expertise working with time series, geospatial, and/or spatio-temporal data
  • Experience in intelligence or military-related mission areas

Pay Information
Full-Time Salary Range: $174,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

Apply