Senior Machine Learning/Data Science Research Engineer

$146,000 - $234,000/Yr

Peraton - Wheaton, MD

Full-time - Senior

Wheaton, MD

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Machine Learning/Data Science Research Engineer at Peraton Labs is responsible for designing and implementing deep learning solutions tailored for network and graph representation learning. This role involves understanding user needs, developing machine learning models, and creating efficient data pipelines to support complex cybersecurity initiatives.

Responsibilities

• Frame the problem and research current state-of-the-art ML solutions.
• Leverage deep learning frameworks (e.g., PyTorch, Tensorflow) to develop tailored deep learning solutions.
• Develop extract-transform-load (ETL) pipelines to curate large-scale ML datasets.
• Utilize graph neural networks (GNN) to construct embedded/latent representations for downstream tasks.
• Train ML models using automated hyper-parameter tuning frameworks.
• Design data models to capture real-world phenomena using graph data structures.

Requirements

• Minimum of 8 years of experience with a BS/BA; 6 years with MS/MA; 3 years with PhD.
• Experience training conventional models from scratch (e.g., OLM, random forests, SVM).
• Personally trained a deep neural network (DNN) from scratch or used transfer learning techniques.
• Developed data wrangling/ETL transforms using Python Pandas.
• Experience with Git version control.
• US Citizenship and Top Secret clearance with the ability to obtain SCI.

Nice-to-haves

• Experience training a deep neural network from scratch.
• Experience finding white papers applicable to the problem area and tailoring provided code.
• Experience with Generative Modeling (e.g., GANs).
• Experience with Reinforcement Learning (RL) solutions.
• Network engineering experience (knowledge of OSI/TCP/IP models).
• Experience developing on GNU/Linux-based operating systems.
• Experience with MLOps tooling/workflows.
• Experience using containers (e.g., Docker).
• Experience with orchestration solutions, including Docker Swarm, Kubernetes, Terraform.

Benefits

• Competitive salary range of $146,000 - $234,000 based on experience.
• Opportunities for professional development and training.