Software Engineer

3 weeks ago

Rome, United States PAR Government Systems Corporation Full time

Brief Program Scope Synopsis: The applied sciences and technologies team uses computer vision, information forensics, machine learning, and other statistics-based techniques to work with various media-modalities (text, audio, video, and images)

In this role, you build software tools and services to support the broader test and evaluation mission. Our tools are used to establish confidence in AI media analysis through evaluations designed with real-world threat models. The data team leverages custom annotation services to curate and create evaluation datasets tailored to custom scenarios.

Responsibilities and Duties:

  • Develop and maintain full-stack software written in a variety of languages (e.g. Python, Java, C++, Javascript, Kotlin, Go)
  • Develop software that provides and interacts with RESTful services
  • Debug complicated processes related to the information forensics domain
  • Develop and maintain tests for written software
  • Contribute to technical interchange meetings inside and outside of the team
  • Research, identify, and develop emerging techniques related to the information forensics domain
  • Collaborate with domain experts to troubleshoot and implement emerging technologies
  • Use and develop machine learning techniques related to semantic reasoning and the information forensics domain
  • Provide summaries of work accomplished as well as approach
  • Work both autonomously with minimal guidance as well as in larger team settings

Required Skills

  • Strong communication skills (interpersonal and written)
  • Experience with systems and software integration
  • Proficiency in Python and Java languages
  • Working knowledge of other languages/frameworks such as React, NodeJs, Kotlin, Go, Rust, Fast API, Flask
  • Demonstrated ability to research and learn new technologies and adapt into usable products and solutions
  • Knowledge of machine learning architectures and uses (e.g. CNNs, Transformers, RNNs, GANs, and/or NeRF)
  • Ability and desire to stay abreast of current technologies
  • Working knowledge of Object-Oriented Principles (OOP)
  • SQL and database schema design
  • Ability to work autonomously with minimal guidance
  • Minimum 5 years demonstratable experience in software design and development or equivalent combination of education and experience
  • Degree in Computer Science, Mathematics, Electrical Engineering, or related disciplines preferred or equivalent experience (e.g. associates + 3 years; bachelors + 2 years, masters + 1 year)

Required Experience

  • Knowledge of DevSecOps and CI/CD
  • Background in other areas of machine learning such as data curation, model selection, architecting, training, validation, testing, and deployment
  • Understanding of machine learning tasks, such as object detection, segmentation, identification, Tracking, deepfakes and natural language processing
  • Experience with UI/UX development and/or understanding of common UI/UX coding languages
  • Docker and Kubernetes experience
  • Experience working with Progressive Web Applications (PWA)
  • REST API integration and implementation
  • Working with and developing microservices

Qualifications:

  • Strong communication skills (interpersonal and written)
  • Experience with systems and software integration
  • Proficiency in Python and Java languages
  • Working knowledge of other languages/frameworks such as React, NodeJs, Kotlin, Go, Rust, Fast API, Flask
  • Demonstrated ability to research and learn new technologies and adapt into usable products and solutions
  • Knowledge of machine learning architectures and uses (e.g. CNNs, Transformers, RNNs, GANs, and/or NeRF)
  • Ability and desire to stay abreast of current technologies
  • Working knowledge of Object-Oriented Principles (OOP)
  • SQL and database schema design
  • Ability to work autonomously with minimal guidance
  • Minimum 5 years demonstratable experience in software design and development or equivalent combination of education and experience
  • Degree in Computer Science, Mathematics, Electrical Engineering, or related disciplines preferred or equivalent experience (e.g. associates + 3 years; bachelors + 2 years, masters + 1 year)

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