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Software Engineer I

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Figure Eight Federal (F8F): Leading the Future of AI Training Data


Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands.  With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry.The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.

Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

Responsibilities:


  • Analyze user requirements to derive software design and performance requirements
  • Debug existing software and correct defects
  • Provide recommendations for improving documentation and software development process standards
  • Design and code new software or modify existing software to add new features
  • Integrate existing software into new or modified systems or operating environments
  • Develop simple data queries for existing or proposed databases or data repositories
  • Write or review software and system documentation
  • Serve as team lead at the level appropriate to the software development process being used on any particular project
  • Design or implement complex database or data repository interfaces/queries
  • Develop or implement algorithms to meet or exceed system performance and functional standards
  • Assist with developing and executing test procedures for software components
  • Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas
  • Modify existing software to correct errors, to adapt to new hardware, or to improve its performance
  • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design

Required Skills:


  • Seven (7) years' experience as a SWE, in programs and contracts of similar scope, type, and complexity
  • Bachelor’s degree in computer science or related discipline from an accredited college or university
  • Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree
  • ACTIVE, CURRENT TS CLEARANCE with POLY

$1 - $200 a yearWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Apply for this job

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Life at Figure Eight Federal

Figure Eight Federal’s Human-in-the-Loop platform is the most widely used AI/ML technology in the US Federal Government. We transform text, image, audio, video, and sensor data into high-quality training data for a wide range of machine learning use cases, including autonomous vehicles, object identification, NLP, search relevance, and more.
Thrive Here & What We Value1. Equal Opportunity Employer2. Value Diversity at Our Company3. Do Not Discriminate on the Basis of Race, Religion, Color, National Origin, Gender, Sexual Orientation, Age, Marital Status, Veteran Status, or Disability Status4. Emphasis on human-machine teaming5. Focus on high-quality training data for AI/ML capabilities6. Collaborative environment where communication is key to completing day-to-day tasks7. Emphasis on innovation and creativity in machine learning solutions

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