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Physics Informed Machine Learning Jobs in Maryland

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Data Scientist 2

Annapolis Junction, MD · On-site

This role combines artificial intelligence and machine learning skills with a strong foundation in ... Make informed recommendations regarding competing technical solutions by maintaining awareness of ...

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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 are popular job titles related to Physics Informed Machine Learning jobs in Maryland? For Physics Informed Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Maryland look for? The top searched job categories for Physics Informed Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Physics Informed Machine Learning jobs? Cities in Maryland 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 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.
Artificial Intelligence/Machine Learning Engineer, Senior

Artificial Intelligence/Machine Learning Engineer, Senior

Booz Allen Hamilton

Annapolis Junction, MD • On-site

$106K - $146K/yr

Full-time

Posted 17 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is seeking a Senior Artificial Intelligence/Machine Learning Engineer to support cyber and intelligence analysts by designing and implementing AI-enabled capabilities. This role involves collaborating with various stakeholders to capture workflows and streamline analytical tasks for informed decision-making in high-tempo environments.
Responsibilities:
• Work directly with mission users to capture workflows, document operational decision points, and translate them into effective AI‑enabled capabilities.
• Design and implement solutions that may include LLM‑powered workflows, agent‑based automation, or hybrid approaches depending on mission needs.
• Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.
Qualifications:
Required:
• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
• Experience designing or implementing LLM‑based or agentic workflows, including multi‑step reasoning, tool integrations, and orchestration
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
• Experience with Python and at least one AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
• Experience with AWS or Azure, including work in restricted or classified environments
• TS/SCI clearance with a polygraph
• Bachelor’s degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments or 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree
Preferred:
• Experience engineering AI capabilities in on‑premise or multi‑classification environments
• 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
• Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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