Senior Machine Learning/Data Science Research Engineer

About Peraton

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.

Responsibilities

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.

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.

Target Salary Range

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

EEO

An Equal Opportunity Employer including Disability/Veteran.

Benefits

At Peraton, our benefits are designed to help keep you at your best beyond the work you do with us daily. We're fully committed to the growth of our employees. From fully comprehensive medical plans to tuition reimbursement, tuition assistance, and fertility treatment, we are there to support you all the way.

• Paid Time-Off and Holidays
• Retirement
• Life & Disability Insurance
• Career Development
• Tuition Assistance and Student Loan Financing
• Paid Parental Leave
• Additional Benefits
• Medical, Dental, & Vision Care

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