Senior ML Research Engineer Transformation, Vectors (Remote)

Erias Ventures, LLC

Maryland

Hybrid

USD 225,000 - 240,000

Full time

14 days+
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Job summary

Erias Ventures, LLC is seeking a Senior Research Engineer for Transformation, Vectors in Annapolis Junction, MD. The role focuses on AI/ML research, development, and deployment for SIGINT/Cybersecurity projects, with telework possibilities after onboarding.

A Top-Secret/SCI with polygraph clearance is required, and 14+ years SWE experience is preferred. We value creative problem-solving, open communication and empowering employees to innovate.

Qualifications

  • Experience with current ML and machine translation technologies.
  • Understanding encoder/decoder transformer architecture.
  • Experience with modern text processing pipelines.
  • Understanding of text encoding vectors.
  • Understanding differences between transformer architectures and Large Language Models.
  • Ability to evaluate new MT tools and techniques.
  • Ability to propose and implement MT tool enhancements.

Responsibilities

  • Under supervision, research and develops technically complex AI efforts.
  • Performs research, design, development, and implementation activities for technically complex AI efforts under routine direction of senior staff.
  • Resolves complex AI problems by applying advanced R&D techniques.
  • Resolves highly complex AI business and managerial problems.

Skills

Machine Learning
Python
C/C++
Docker
Transformer models
Text processing
Research environment

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Job description

Erias Ventures, LLC is seeking a Senior Research Engineer for Transformation, Vectors in Annapolis Junction, MD. The role focuses on AI/ML research, development, and deployment for SIGINT/Cybersecurity projects, with telework possibilities after onboarding.

A Top-Secret/SCI with polygraph clearance is required, and 14+ years SWE experience is preferred. We value creative problem-solving, open communication and empowering employees to innovate.

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