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Physics Informed Machine Learning Jobs in Maryland

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Physics Informed Machine Learning information

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 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 cities in Maryland are hiring for Physics Informed Machine Learning jobs? Cities in Maryland with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Maryland as of June 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 12% Part Time, 2% Contract, and 2% Nights. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Technical SETA SME - Machine Learning, Modeling & Simulation

Guidehouse

Bethesda, MD • On-site

$98K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:
Data Science & Analysis (ESA)
Travel Required:
Up to 10%
Clearance Required:
Active Top Secret SCI with Polygraph
What You Will Do:
The Technical SETA will provide support in the execution of the lifecycle of a research program from development, source selection, execution, closeout, and transition. The Technical SETA will be responsible for attending meetings, workshops, conferences, and testing events as the Subject Matter Expert.
In this role, the Technical SETA will serve as the Subject Matter Expertise in Circuit Automation and Design Engineering using Artificial Intelligence.
What You Will Need:
  • An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph
  • Bachelor's degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
  • EIGHT (8) or more years of work experience in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software). Experience should include, but not be limited to:
    • Experience in the development of trajectory analytics or human mobility modeling
    • Experience with R&D of spatiotemporal data modeling
    • Experience with R&D of machine learning algorithms
    • Experience managing a multi-disciplinary R&D or Test and Evaluation (T&E) team
    • Experience creating program plans, work breakdown structures, and milestone schedules

What Would Be Nice To Have:
  • Master's degree or PhD in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with FOUR (4) or more years of work experience
  • Experience with microsimulation of human mobility
  • Experience with architectures supporting large spatiotemporal data management and processing
  • Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition
  • Experience with R&D of cloud engineering and management of cloud-based architectures
  • Experience managing a multi-disciplinary R&D or T&E team
  • Experience with R&D of machine learning algorithms
  • Experience as a Project Manager or Deputy Project Manager
  • Experience with utilization, development, and management of cloud environments and/or classified commercial cloud environments
  • Ability to proactively manage multiple, concurrent tasks
  • Excellent writing and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources
  • Excellent slide development and PowerPoint skills, with the ability to visually communicate complex ideas at a high level for technically savvy but non-expert audiences
  • Strong organizational, problem-solving, and time-management skills; detail oriented

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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