Research and implement machine learning approaches for RF signal detection, classification ... D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics ...
Research and implement machine learning approaches for RF signal detection, classification ... D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics ...
Research and implement machine learning approaches for RF signal detection, classification ... D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics ...
Research and implement machine learning approaches for RF signal detection, classification ... D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics ...
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a ... We are seeking a new PhD graduate with expertise in machine learning to support multi-disciplinary ...
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a ... We are seeking a new PhD graduate with expertise in machine learning to support multi-disciplinary ...
Lead Scientist-Computational Physics, Signal Processing, and Machine Learning (REQ 342)
Arlington, VA · On-site
$120 - $180/hr
This position will develop advanced computational methods that combine first-principles physics, numerical modeling, signal and image processing, and machine learning to solve challenging maritime ...
New
Lead Scientist-Computational Physics, Signal Processing, and Machine Learning (REQ 342)
Arlington, VA · On-site
$120 - $180/hr
This position will develop advanced computational methods that combine first-principles physics, numerical modeling, signal and image processing, and machine learning to solve challenging maritime ...
New
Director of Machine Learning & 3D Reconstruction
Columbia, MD · On-site
$200K - $270K/yr
Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs ... Overview Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning ...
Director of Machine Learning & 3D Reconstruction
Columbia, MD · On-site
$200K - $270K/yr
Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs ... Overview Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning ...
Work with physics-based modeling and simulation (M&S), advanced data-analysis, and machine-learning techniques to create innovative sensor-performance tools. * Collaborative Culture: Join a highly ...
Work with physics-based modeling and simulation (M&S), advanced data-analysis, and machine-learning techniques to create innovative sensor-performance tools. * Collaborative Culture: Join a highly ...
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather ...
Arlington, VA · Remote
... physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions. As a trusted customer advocate, you will help organizations understand best ...
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather ...
Arlington, VA · Remote
... physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions. As a trusted customer advocate, you will help organizations understand best ...
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather & G
Arlington, VA · On-site
Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including physics informed machine learning, CAE, Weather and ...
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather & G
Arlington, VA · On-site
Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including physics informed machine learning, CAE, Weather and ...
Software Engineer / Machine Learning - Senior
Fort Belvoir, VA · On-site
$138K - $182K/yr
Bachelor's degree in Engineering, Physics, Mathematics. Ten (10) years' experience with developing artificial intelligence and machine learning algorithms. Experience in developing in Python, Java ...
Quick apply
Software Engineer / Machine Learning - Senior
Fort Belvoir, VA · On-site
$138K - $182K/yr
Bachelor's degree in Engineering, Physics, Mathematics. Ten (10) years' experience with developing artificial intelligence and machine learning algorithms. Experience in developing in Python, Java ...
Staff Deep Learning Engineer
$185K - $235K/yr
Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field ... Hands on with geometric or physics-informed neural networks, or anomaly detection in 3D data.
Staff Deep Learning Engineer
$185K - $235K/yr
Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field ... Hands on with geometric or physics-informed neural networks, or anomaly detection in 3D data.
Senior Climate Analytics Specialist
Arlington, VA · On-site
$100K - $123K/yr
Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches * Design, train, and ...
Senior Climate Analytics Specialist
Arlington, VA · On-site
$100K - $123K/yr
Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches * Design, train, and ...
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather ...
Arlington, VA · Remote
... physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions. As a trusted customer advocate, you will help organizations understand best ...
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather ...
Arlington, VA · Remote
... physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions. As a trusted customer advocate, you will help organizations understand best ...
Work with physics-based modeling and simulation (M&S), advanced data-analysis, and machine-learning techniques to create innovative sensor-performance tools. * Collaborative Culture: Join a highly ...
Work with physics-based modeling and simulation (M&S), advanced data-analysis, and machine-learning techniques to create innovative sensor-performance tools. * Collaborative Culture: Join a highly ...
Machine Learning Engineer- Senior
Chantilly, VA · On-site
$140 - $190/hr
... informed decision-making.QualificationsMinimum Requirements • Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances ...
New
Machine Learning Engineer- Senior
Chantilly, VA · On-site
$140 - $190/hr
... informed decision-making.QualificationsMinimum Requirements • Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances ...
New
Senior Machine Learning Engineer
Arlington, VA · On-site
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Senior Machine Learning Engineer
Arlington, VA · On-site
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Machine Learning Engineer- Senior
Chantilly, VA · On-site
$125K - $165K/yr
Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ...
Machine Learning Engineer- Senior
Chantilly, VA · On-site
$125K - $165K/yr
Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ...
Machine Learning Engineer- Senior
Chantilly, VA · On-site
$125K - $165K/yr
Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ...
Machine Learning Engineer- Senior
Chantilly, VA · On-site
$125K - $165K/yr
Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ...
Senior Machine Learning Engineer
Arlington, VA · On-site
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Senior Machine Learning Engineer
Arlington, VA · On-site
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Senior Machine Learning Engineer
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Quick apply
Senior Machine Learning Engineer
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Senior Machine Learning Engineer
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Quick apply
Senior Machine Learning Engineer
$155K - $195K/yr
The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ... Physics, or a related technical field * 6+ years of professional software engineering and/or ...
Physics Informed Machine Learning information
See Hyattsville, MD salary details
$5.30 - $7.14
0% of jobs
$7.14 - $8.98
0% of jobs
$8.98 - $10.82
0% of jobs
$10.82 - $12.66
24% of jobs
$12.75 is the 25th percentile. Wages below this are outliers.
$12.66 - $14.50
16% of jobs
$14.50 - $16.34
0% of jobs
$16.34 - $18.18
0% of jobs
$18.18 - $20.02
0% of jobs
$20.02 - $21.86
0% of jobs
The median wage is $22.30 / hr.
$21.86 - $23.70
40% of jobs
$23.70 - $25.54
19% of jobs
$5
$20
$25
How much do physics informed machine learning jobs pay per hour?
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 are popular job titles related to Physics Informed Machine Learning jobs in Hyattsville, MD?
For Physics Informed Machine Learning jobs in Hyattsville, MD, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Hyattsville, MD look for?
The top searched job categories for Physics Informed Machine Learning jobs in Hyattsville, MD are:
What cities near Hyattsville, MD are hiring for Physics Informed Machine Learning jobs?
Cities near Hyattsville, MD with the most Physics Informed Machine Learning job openings:

Full-time
Re-posted 10 days ago
Peraton rating
8.3
Based on 56 frontline employees who took The Breakroom Quiz
51st of 224 rated it services
Job description
Peraton Labs is seeking a poly cleared Senior Research Scientist to support cleared research and development efforts for a Maryland-based IC customer. This role will focus on leading the design, development, prototyping, and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless, spectrum, cyber, and communications research.
You'll work on mission-focused R&D efforts that move from research concepts to working prototypes and operationally relevant capabilities. You will collaborate with researchers, software engineers, signal processing experts, and customer stakeholders to solve complex problems involving RF sensing, signal characterization, waveform analysis, spectrum awareness, and machine learning-enabled wireless systems.
This position requires full-time on-site work at a customer site near College Park, MD.
Key responsibilities may include
- Lead the design, development, prototyping, and evaluation of RF/ML algorithms for wireless, spectrum, and communications applications
- Research and implement machine learning approaches for RF signal detection, classification, characterization, anomaly detection, emitter identification, spectrum sensing, or waveform analysis
- Develop and evaluate algorithms using modern machine learning frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, JAX, or similar tools
- Apply strong digital signal processing and RF domain knowledge to develop, train, test, and validate models against real-world or simulated RF data
- Design data collection, labeling, preprocessing, feature extraction, training, evaluation, and experimentation workflows for RFML research
- Develop software prototypes using Python, C/C++, MATLAB, GNU Radio, or similar tools
- Analyze RF signals, wireless protocol behavior, modulation characteristics, channel effects, interference, noise, and system performance
- Work with RF datasets, signal captures, IQ data, SDR platforms, and lab or field-collected spectrum data
- Support integration of RFML capabilities into larger research prototypes, testbeds, cyber experimentation platforms, or operationally relevant systems
- Communicate research findings, technical approaches, experiment results, and prototype capabilities through customer briefings, technical reports, whitepapers, and publications
- Provide technical leadership, mentor junior researchers or engineers, and help shape future RFML research direction
*This position may be eligible for an increased sign-on bonus. Eligibility, bonus amount, and applicable terms and conditions will be discussed during the recruiting process*
#MDFSP
#PLABS26
QualificationsMinimum Qualifications
- Minimum of 6+ years of experience with a Bachelor's degree, 4+ years of experience with a Master's degree, or 2+ years of experience with a Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related discipline. In lieu of a Bachelors, an additional 4 years of experience is required for a total of 10+ years.
- Strong background in Radio frequency Machine Learning, digital signal processing, wireless communications, or RF systems research
- Experience designing, developing, training, testing, or evaluating machine learning models for RF, wireless, spectrum, signal processing, or communications applications
- Experience with modern machine learning frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, or similar tools
- Strong Experience programming in Python and at least one additional language such as C/C++, Java, or similar
- Experience working with RF data, signal captures, IQ samples, simulated waveforms, or real-world wireless datasets
- Experience working in Linux-based dev environments
- Ability to develop, test, troubleshoot, document, and demonstrate research prototypes
- Strong written and verbal communication skills, including the ability to present technical concepts and research results to technical stakeholders
- US Citizenship is a requirement for this position
- This position requires an active/current TS/SCI w/ Polygraph
Desired Additional Qualifications
- Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field is preferred
- Demonstrated history of research in Machine Learning and RF spectrum domains, including publications, prototypes, proposals, patents, technical reports, or customer-facing research briefings
- Experience with RFML applications such as signal classification, modulation recognition, emitter identification, spectrum sensing, anomaly detection, interference detection, protocol inference, or RF fingerprinting
- Experience with SDR platforms such as Ettus USRP, HackRF, BladeRF, LimeSDR, or similar hardware
- Familiarity with SDR software and RF development tools such as GNU Radio, UHD/USRP, MATLAB, Simulink or similar tools
- Experience with wireless systems or protocols such as LTE, 5G, Wi-Fi, SATCOM, MANET, tactical radio systems, mesh networks, or custom waveform environments
- Experience with RF test equipment such as spectrum analyzers, signal generators, oscilloscopes, vector signal analyzers, channel emulators, or RF front-end equipment
- Experience with deep learning approaches for signal processing, including CNNs, RNNs, transformers, autoencoders, contrastive learning, self-supervised learning, or generative models
- Experience with data engineering for RFML, including dataset generation, augmentation, labeling, synthetic data, simulation, model evaluation, and experiment tracking
- Experience with tools such as NumPy, SciPy, Pandas, cuSignal, CUDA, MLflow, Weights & Biases, DVC, or similar tools
- Experience integration ML models into deployable prototypes, edge systems, containers, testbeds, or cyber/radio experimentation environments
- Experience with RF cyber research, wireless security, electronic warfare, spectrum operations, protocol reverse engineering, or adversarial ML
- Ability to serve as a technical lead, task lead, or principal investigator on DoD/IC research efforts
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIMEAbout Peraton
Sourced by ZipRecruiter
At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Herndon, VA, US
Year founded
2017