<h3>Responsibilities </h3><p>Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Lab’s cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms. </p><p>Our projects span several areas of interest. Our core competencies include (but are not limited to): </p><ul><li>Program analysis, including program understanding, vulnerability identification, and remediation </li><li>Malware analysis and reverse engineering </li><li>Resilient networking in support of cyber mission goals </li> </ul><ul><li>Software-defined networking for cyber defense and deception </li><li>Artificial intelligence (reasoning, probabilistic inference, machine learning) </li> </ul><h3>Qualifications </h3><ul><li>Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. </li><li>Experience developing and deploying solutions Android and iOS applications and operating systems </li><li>Expertise in reverse engineering </li><li>Expertise in Android and iOS internals, SDK, NDK </li><li>Expertise in one or more system languages: C, C++, Go, Rust, etc. </li><li>Expertise in Python </li><li>Expertise in designing, developing, and testing software modules related to emerging embedded cyber capabilities </li><li>Modern development practices and toolsets (Git, subversion, CI/CD toolchains) </li><li>Experience running docker containers </li><li>Experience developing in Linux </li><li>A passion to learn something new every day and to stay up-to-date with developments in your field </li><li>Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions </li><li>US Citizenship </li><li>Active Top Secret Clearance </li> </ul><h3>Peraton Overview </h3><p>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. </p><h3>Target Salary Range </h3>$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.#J-18808-Ljbffr

<p>Responsibilities
Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Lab’s cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques, and cyber operations and experimentation platforms.

The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.

The ideal candidate will be able to start from the end users' needs and understand how they drive performance and infrastructure requirements. The ideal candidate has experience converting customers' needs into user interface requirements and baselining and scaling ML solutions using CI/CD best practices.

Roles and Responsibilities:

Frame the problem, research current state-of-the-art ML solutions, and assess their suitability to the problem at hand.

Leverage deep learning frameworks (e.g., PyTorch, TensorFlow) to develop deep learning solutions, tailoring them to the application area.

Develop extract-transform-load (ETL) pipelines to curate large-scale ML datasets.

Leverage graph neural networks (GNN) to construct embedded/latent representations for downstream tasks.

Train ML models using automated hyper-parameter tuning frameworks.

Design data model to capture real-world phenomena using graph data structures in a space/computationally efficient design.

Qualifications
Required Skills:

Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD.

Minimum of 2 years team lead experience.

Experience training conventional models from scratch (e.g., ordinary least squares (OLM), random forests, support vector machines (SVM), boosting methods, etc.).

Personally trained a deep neural network (DNN): either trained a DNN from scratch OR leveraged transfer learning techniques to further tune a pretrained DNN to a specific target domain.

Developed data wrangling/ETL transforms using Python Pandas package.

Experience with Git version control.

US Citizenship.

Top Secret clearance with the ability to obtain SCI.

Desired Skills:

Experience training a deep neural network from scratch.

Experience finding white papers applicable to problem area and tailoring provided code to application domains.

Experience with Generative Modeling (e.g., GANs).

Experience with Reinforcement Learning (RL) solutions.

Network engineering experience (e.g., knowledge of OSI/TCP/IP models, network infrastructure).

Experience developing on GNU/Linux-based operating system.

Experience with MLOps tooling/workflows.

Experience using containers (e.g., Docker).

Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform.

Peraton Overview
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
$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.

#J-18808-Ljbffr</p>

<h3>Responsibilities </h3><p>Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Lab’s cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques, and cyber operations and experimentation platforms. </p><p>The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion. </p><p>The ideal candidate will be able to start from the end users' needs and understand how they drive performance and infrastructure requirements. The ideal candidate has experience converting customers' needs into user interface requirements and baselining and scaling ML solutions using CI/CD best practices. </p><p>Roles and Responsibilities: </p><ul><li>Frame the problem, research current state-of-the-art ML solutions, and assess their suitability to the problem at hand. </li><li>Leverage deep learning frameworks (e.g., PyTorch, TensorFlow) to develop deep learning solutions, tailoring them to the application area. </li><li>Develop extract-transform-load (ETL) pipelines to curate large-scale ML datasets. </li><li>Leverage graph neural networks (GNN) to construct embedded/latent representations for downstream tasks. </li><li>Train ML models using automated hyper-parameter tuning frameworks. </li><li>Design data model to capture real-world phenomena using graph data structures in a space/computationally efficient design. </li> </ul><h3>Qualifications </h3><p>Required Skills: </p><ul><li>Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD. </li><li>Minimum of 2 years team lead experience. </li><li>Experience training conventional models from scratch (e.g., ordinary least squares (OLM), random forests, support vector machines (SVM), boosting methods, etc.). </li><li>Personally trained a deep neural network (DNN): either trained a DNN from scratch OR leveraged transfer learning techniques to further tune a pretrained DNN to a specific target domain. </li><li>Developed data wrangling/ETL transforms using Python Pandas package. </li><li>Experience with Git version control. </li><li>US Citizenship. </li><li>Top Secret clearance with the ability to obtain SCI. </li> </ul><p>Desired Skills: </p><ul><li>Experience training a deep neural network from scratch. </li><li>Experience finding white papers applicable to problem area and tailoring provided code to application domains. </li><li>Experience with Generative Modeling (e.g., GANs). </li><li>Experience with Reinforcement Learning (RL) solutions. </li><li>Network engineering experience (e.g., knowledge of OSI/TCP/IP models, network infrastructure). </li><li>Experience developing on GNU/Linux-based operating system. </li><li>Experience with MLOps tooling/workflows. </li><li>Experience using containers (e.g., Docker). </li><li>Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform. </li> </ul><h3>Peraton Overview </h3><p>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. </p><h3>Target Salary Range </h3><p>$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors. </p>#J-18808-Ljbffr

<h3>Responsibilities</h3><p>Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Lab’s cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms.</p><p>Our projects span several areas of interest. Our core competencies include (but are not limited to):</p><ul><li>Program analysis, including program understanding, vulnerability identification, and remediation</li><li>Malware analysis and reverse engineering</li><li>Resilient networking in support of cyber mission goals</li></ul><ul><li>Software-defined networking for cyber defense and deception</li><li>Artificial intelligence (reasoning, probabilistic inference, machine learning)</li></ul><h3>Qualifications</h3><ul><li>Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.</li><li>Experience developing and deploying solutions Android and iOS applications and operating systems</li><li>Expertise in reverse engineering</li><li>Expertise in Android and iOS internals, SDK, NDK</li><li>Expertise in one or more system languages: C, C++, Go, Rust, etc.</li><li>Expertise in Python</li><li>Expertise in designing, developing, and testing software modules related to emerging embedded cyber capabilities</li><li>Modern development practices and toolsets (Git, subversion, CI/CD toolchains)</li><li>Experience running docker containers</li><li>Experience developing in Linux</li><li>A passion to learn something new every day and to stay up-to-date with developments in your field</li><li>Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions</li><li>US Citizenship</li><li>Active Top Secret Clearance</li></ul><h3>Peraton Overview</h3><p>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.</p><h3>Target Salary Range</h3>$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.
#J-18808-Ljbffr

Responsibilities:<br/><br/>Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Labs cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms.
The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
The ideal candidate will be able to start from the end users' needs and understand how they drive performance and infrastructure requirements. The ideal candidate has experience converting customers' needs into user interface requirements and baselining and scaling ML solutions using CI/CD best practices.
?
Roles and Responsibilities:
Frame the problem, research current state-of-the-art ML solutions, and assess their suitability to the problem at hand.
Leverage deep learning frameworks (e.g., PyTorch, Tensorflow) to develop deep learning solutions, tailoring them to the application area.
Develop extract-transform-load (ETL) pipelines to curate large-scale ML datasets.
Leverage graph neural networks (GNN) to construct embedded/latent representations for downstream tasks.
Train ML models using automated hyper-parameter tuning frameworks.
Design data model to capture real-world phenomena using graph data structures in a space/computationally efficient design<br/><br/>Qualifications:
Required Skills:
Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
Experience training conventional models from scratch (e.g., ordinary least squares (OLM), random forests, support vector machines (SVM), boosting methods, etc.)
Personally trained a deep neural network (DNN): either trained a DNN from scratch OR leveraged transfer learning techniques to further tune a pretrained DNN to a specific target domain.
Developed data wrangling/ETL transforms using python Pandas package.
Experience with Git version control.
Desired Skills:
Experience training a deep neural network from scratch
Experience finding white-papers applicable to problem area and tailoring provided code to application domains
Experience with Generative Modeling (e.g., GANs)
Experience with Reinforcement Learning (RL) solutions
Network engineering experience (e.g., knowledge of OSI/TCP/IP models, network infrastructure)
Experience developing on GNU/Linux-based operating system
Experience with MLOps tooling/workflows
Experience using containers (e.g., docker)
Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform
Top Secret Clearance<br/><br/>Peraton Overview:
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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how were keeping people around the world safe and secure.
Target Salary Range:
$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.

Responsibilities:

Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Labs cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms.
The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
The ideal candidate will be able to start from the end users' needs and understand how they drive performance and infrastructure requirements. The ideal candidate has experience converting customers' needs into user interface requirements and baselining and scaling ML solutions using CI/CD best practices.
?
Roles and Responsibilities:
Frame the problem, research current state-of-the-art ML solutions, and assess their suitability to the problem at hand.
Leverage deep learning frameworks (e.g., PyTorch, Tensorflow) to develop deep learning solutions, tailoring them to the application area.
Develop extract-transform-load (ETL) pipelines to curate large-scale ML datasets.
Leverage graph neural networks (GNN) to construct embedded/latent representations for downstream tasks.
Train ML models using automated hyper-parameter tuning frameworks.
Design data model to capture real-world phenomena using graph data structures in a space/computationally efficient design

Qualifications:
Required Skills:
Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
Experience training conventional models from scratch (e.g., ordinary least squares (OLM), random forests, support vector machines (SVM), boosting methods, etc.)
Personally trained a deep neural network (DNN): either trained a DNN from scratch OR leveraged transfer learning techniques to further tune a pretrained DNN to a specific target domain.
Developed data wrangling/ETL transforms using python Pandas package.
Experience with Git version control.
Desired Skills:
Experience training a deep neural network from scratch
Experience finding white-papers applicable to problem area and tailoring provided code to application domains
Experience with Generative Modeling (e.g., GANs)
Experience with Reinforcement Learning (RL) solutions
Network engineering experience (e.g., knowledge of OSI/TCP/IP models, network infrastructure)
Experience developing on GNU/Linux-based operating system
Experience with MLOps tooling/workflows
Experience using containers (e.g., docker)
Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform
Top Secret Clearance

Peraton Overview:
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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how were keeping people around the world safe and secure.
Target Salary Range:
$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.

<p>Responsibilities: <br></p><p>Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Labs cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms. </p> <p>The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion. </p><p>The ideal candidate will be able to start from the end users' needs and understand how they drive performance and infrastructure requirements. The ideal candidate has experience converting customers' needs into user interface requirements and baselining and scaling ML solutions using CI/CD best practices. </p><p>? </p><p>Roles and Responsibilities: </p><ul> <li>Frame the problem, research current state-of-the-art ML solutions, and assess their suitability to the problem at hand. </li><li>Leverage deep learning frameworks (e.g., PyTorch, Tensorflow) to develop deep learning solutions, tailoring them to the application area. </li><li>Develop extract-transform-load (ETL) pipelines to curate large-scale ML datasets. </li><li>Leverage graph neural networks (GNN) to construct embedded/latent representations for downstream tasks. </li><li>Train ML models using automated hyper-parameter tuning frameworks. </li><li>Design data model to capture real-world phenomena using graph data structures in a space/computationally efficient design </li></ul> <br><br>Qualifications: <br><p>Required Skills: </p><ul> <li>Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD </li><li>Experience training conventional models from scratch (e.g., ordinary least squares (OLM), random forests, support vector machines (SVM), boosting methods, etc.) </li><li>Personally trained a deep neural network (DNN): either trained a DNN from scratch OR leveraged transfer learning techniques to further tune a pretrained DNN to a specific target domain. </li><li>Developed data wrangling/ETL transforms using python Pandas package. </li><li>Experience with Git version control. </li></ul> <p>Desired Skills: </p><ul> <li>Experience training a deep neural network from scratch </li><li>Experience finding white-papers applicable to problem area and tailoring provided code to application domains </li><li>Experience with Generative Modeling (e.g., GANs) </li><li>Experience with Reinforcement Learning (RL) solutions </li><li>Network engineering experience (e.g., knowledge of OSI/TCP/IP models, network infrastructure) </li><li>Experience developing on GNU/Linux-based operating system </li><li>Experience with MLOps tooling/workflows </li><li>Experience using containers (e.g., docker) </li><li>Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform </li><li>Top Secret Clearance </li></ul> <br><br>Peraton Overview: <br><p>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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how were keeping people around the world safe and secure. </p>Target Salary Range: <br>$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.

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Research Engineer Jobs in Silver Spring, MD

Mobile Cybersecurity Research EngineerDecember 11, 2024

Lead Machine Learningdata Science Research EngineerDecember 10, 2024

Lead Machine Learningdata Science Research EngineerDecember 9, 2024

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