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Physics Based Machine Learning Jobs in Pittsburgh, PA

... based or developed with more advanced statistical, mathematical, econometric, machine learning, or ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... based or developed with more advanced statistical, mathematical, econometric, machine learning, or ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

This position combines hands-on software development, machine learning workflows, and rigorous ... Work Environment This role is based on site in Dallas TX, with a hybrid or remote schedule ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

... long-term solutions based on research insights, leveraging your expertise in deep learning ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

... long-term solutions based on research insights, leveraging your expertise in deep learning ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

... long-term solutions based on research insights, leveraging your expertise in deep learning ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

... long-term solutions based on research insights, leveraging your expertise in deep learning ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

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Physics Based Machine Learning information

See Pittsburgh, PA salary details

$5

$19

$24

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

As of Sep 3, 2026, the average hourly pay for physics based machine learning in Pittsburgh, PA is $19.48, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $24.76 per hour, depending on experience, location, and employer.

What is a physics based machine learning?

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 does a physics based machine learning professional do?

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 are the key skills and qualifications needed to thrive in physics based machine learning?

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.

What are popular job titles related to Physics Based Machine Learning jobs in Pittsburgh, PA?

For Physics Based Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Physics Based Machine Learning jobs in Pittsburgh, PA look for?

The top searched job categories for Physics Based Machine Learning jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Physics Based Machine Learning jobs?

Cities near Pittsburgh, PA with the most Physics Based Machine Learning job openings:

Infographic showing various Physics Based Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,513 per year, or $19.5 per hour.

AML Quantitative Analytics and Model Development Analyst Senior Machine Learning

PNC Bank

Pittsburgh, PA • On-site

$86K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

88th of 174 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a AML Quantitative Analytics and Model Development Analyst Senior Machine Learning within PNC's AML organization, you will be based in Pittsburgh, PA, Cincinnati, OH or one of PNC"s Hub locations.
This role is ideal for a risk and compliance professional who combines deep curiosity about emerging AI and machine learning capabilities with practical experience applying advanced analytics in highly regulated environments. The successful candidate will provide oversight and challenge for AI-enabled solutions that support AML investigations, helping ensure they remain effective, well-governed, and aligned to business and regulatory expectations. Working closely with model owners, technology partners, investigators, and risk stakeholders, this individual will monitor industry developments, evaluate the potential impact of new techniques and tools, translate complex concepts into actionable business insights, and help shape the strategic direction of AI-enabled capabilities. We are seeking a thoughtful and influential professional who can bridge business, risk, and technology perspectives, exercise sound judgment, and serve as a trusted advisor on the evolving use of AI within financial crimes risk management.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesCandidates being considered for this position will be subject to additional background checks as established by the specific government client contract.Language AssessmentsNo Required or Preferred Language AssessmentsPay TransparencyBase Salary: $86,000.00 - $172,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 08/27/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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