Machine Learning and Data Science Engineer

Job Locations US-NJ-Basking Ridge | US-NH-Bedford | US-MD-Silver Spring
Requisition ID
2023-133957
Position Category
Cyber Security
Clearance
Top Secret
Sector
Peraton Labs

Responsibilities

The ML/Data Science Research Engineer with Peraton Labs 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


Education, Clearance, and Citizenship Required:

  • BS 5-7 Years, MS 3-5, PhD 0-2
  • United States
  • Top Secret Clearance

Required Skills:

  • 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

Peraton Labs has a portfolio that spans several domains & problem sets, including (but not limited to): 

  • Full-spectrum cyber operations, including CND, CNE, CNA, and CNO. 
  • Program analysis, including program understanding, vulnerability identification, and remediation 
  • Malware analysis and reverse engineering 
  • Resilient networking in support of cyber mission goals 
  • Autonomous agent development 
  • Software-defined networking for cyber defense and deception 
  • Cryptographic techniques for assured computation 
  • Symbolic logic and theorem proving for automating network configuration 
  • Application of formal methods for secure and resilient systems 
  • Application of mathematic, statistics, and linguistics to large data sets to uncover patterns, extract information and gain understanding 
  • Artificial intelligence (reasoning, probabilistic inference, machine learning) 

Peraton Overview

Peraton 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 and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can’t be done, solving the most daunting challenges facing our customers.

Target Salary Range

$86,000 - $138,000. This represents the typical salary range for this position based on experience and other factors.

EEO Tagline (Text Only)

An Equal Opportunity Employer including Disability/Veteran.

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