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Physics Informed Machine Learning Jobs in Gwynn Oak, MD

Quidient

Product Manager, Spatial AI

Columbia, MD · On-site

$155K - $200K/yr

Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs ... Hands-on product experience with machine learning and computer vision systems. * Experience ...

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Physics Informed Machine Learning information

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

As of Aug 29, 2026, the average hourly pay for physics informed machine learning in Gwynn Oak, MD is $21.75, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $27.64 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 Gwynn Oak, MD look for?

The top searched job categories for Physics Informed Machine Learning jobs in Gwynn Oak, MD are:

What cities near Gwynn Oak, MD are hiring for Physics Informed Machine Learning jobs?

Cities near Gwynn Oak, MD 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 Gwynn Oak, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,247 per year, or $21.8 per hour.

AI/Machine Learning Engineer

Fort George G Meade, MD • On-site

Optimus Technology, Inc.
IT Services • 11 - 50 employees
Learn more about Optimus Technology, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Intelligence Analysts rely on multi-step workflows that are time sensitive, detail rich, and critical to national security. As an AI/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI enabled capabilities.
You will design and implement solutions that may include LLM powered workflows, agent based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision making in high tempo enviornments.
You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to security and governance expectations of classified enviornments.
Required Skills:
-Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic.
-Experience designing or implementing LLM based on agentic workflows, including multi-step reasoning, tool integrations, and orchestration.
-Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
-Experience with programming languages such as Python.
Desired Skills:
-Experience engineering AI capabilities on premise or multi classification enviornments.
-Experience with AWS or Azure, including work in restricted or classified environments.
-Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
-Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp.
-Experience with cyber or intelligence workflows, operational data types, or mission oriented analytical processes.
Optimus Technology is a SDVO (Service-Disabled Veteran-Owned) small business founded in 2010. We are known for our exceptionally talented group of Engineers and Technical experts with superior knowledge and experience in Cyber Technologies and the latest technology trends. Our dedication in pairing the right Optimus Technologist with the right customer solution is at the core of our Partnership commitment and critical to the performance and satisfaction of our employees, the pinnacle of the Optimus culture.
Why us?
We strive to provide the best well-rounded benefits package available.
  • Premium health, dental, and vision package
  • Company funded HRA
  • 401k company contributions
  • Employer paid group term life insurance policy
  • Tuition assistance and career development
  • Short-term and long-term disability
  • Paid time off
  • Referral bonuses
  • Company outings, giveaways & more

Optimus practices a policy of non-discrimination and is fully committed to the principles of equality in employment and opportunity for all employees. Employment decisions are made without regard to age, gender, race, religion, marital status, national origin, sexual orientation, or any other non-merit based factor.

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