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Physics Informed Machine Learning Jobs in Mahwah, NJ

Meta

Software Engineer, Machine Learning

New York, NY · On-site

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

Grubhub

Senior Staff Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

MS/PhD in a quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field) or equivalent experience * 8+ years building and shipping machine learning ...

Grubhub

Senior Staff Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

MS/PhD in a quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field) or equivalent experience * 8+ years building and shipping machine learning ...

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

As of Sep 14, 2026, the average hourly pay for physics informed machine learning in Mahwah, NJ is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $25.58 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 job categories do people searching Physics Informed Machine Learning jobs in Mahwah, NJ look for?

The top searched job categories for Physics Informed Machine Learning jobs in Mahwah, NJ are:

What cities near Mahwah, NJ are hiring for Physics Informed Machine Learning jobs?

Cities near Mahwah, NJ with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you

Staff Machine Learning Engineer, Financial Connections

New York, NY • On-site

Stripe
Software Development • 1 - 5K employees
Learn more about Stripeexternal

Full-time

Posted 19 days ago

Job description

Who we areAbout the team

Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale - building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants.

Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers.

What you'll do

We're looking for machine learning engineers who want to build intelligent systems that provide financial data at scale. You'll play a key role in designing, training, and deploying ML models that improve the quality, accuracy, and usefulness of financial data across Stripe's ecosystem.

Responsibilities
  • Design, build, train, evaluate, deploy, and own ML models in production that improve transaction categorization, risk scoring, and data enrichment across Financial Connections
  • Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions
  • Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy
  • Develop pipelines and automated processes to train and evaluate models in offline and online environments
  • Integrate ML models into production systems and ensure their scalability and reliability
  • Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers
  • Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions
  • Mentor engineers and contribute to a strong ML engineering culture within the team
Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements
  • 10+ years of industry experience building and shipping ML systems in production
  • Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark
  • Hands-on experience in designing, training, and evaluating machine learning models
  • Hands-on experience in productionizing and deploying models at scale
  • Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets
  • Strong collaboration skills and the ability to work across teams and contribute to peers' success
  • Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset
Preferred qualifications
  • MS or PhD degree in ML/AI or a related field (e.g., math, physics, statistics, computer science)
  • Experience in fintech, open banking, or financial data domains
  • Experience with NLP, LLMs, or text classification at scale
  • Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data quality
  • Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems
  • Experience with deep learning architectures, including transformers

Apply