Lead Machine LearningData Science Research Engineer
Lead Machine LearningData Science Research Engineer
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$ 146000 - 234000
1 Vacancy
Job Description
Responsibilities
PeratonLabsdelivers 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 LabsBellcore and Telcordia our experts pave the way.PeratonLabs cybersecurity research protects missioncritical systems and national cyber infrastructure through a broad range of initiatives in computer network defense securebydesign techniques and cyber operations and experimentation platforms.
The Machine Learning/Data Science Research Engineer will participate in an endtoend 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 stateoftheart 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 extracttransformload (ETL) pipelines to curate largescale ML datasets.
- Leverage graph neural networks (GNN) to construct embedded/latent representations for downstream tasks.
- Train ML models using automated hyperparameter tuning frameworks.
- Design data model to capture realworld 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 Pandaspackage.
- 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 whitepapers 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/Linuxbased operating system
- Experience with MLOpstooling/workflows
- Experience using containers (e.g. docker)
- Experience with orchestration solutions including Docker Swarm Kubernetes Terraform
Peraton Overview
Peraton is a nextgeneration 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 to learn how were keeping people around the world safe and secure.
Target Salary Range
EEO
Employment Type
Full-Time
