Cleared AI/ML Software Engineer

Yellow Duck Technologies Inc.

$138K — $165K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance with Polygraph required.
  • 12+ years of experience in software engineering focused on machine learning or natural language processing.
  • Degree in Computer Science, Artificial Intelligence, or a similar field.
  • Expertise in deep learning frameworks like TensorFlow, PyTorch, or MXNet.
  • Proficiency in Python, C++, or Java as programming languages.
  • Understanding of LLM architectures and their training techniques.
  • Familiarity with cloud platforms like AWS or GCP and related ML services.

Responsibilities

  • Train and host Large Language Model (LLM) instances efficiently.
  • Optimize LLM performance within the computing environment.
  • Implement machine learning solutions adhering to best practices.
  • Collaborate with cross-functional teams to achieve project goals.
  • Debug and troubleshoot machine learning models and systems.

Benefits

  • Opportunities for professional development and continuous learning.
  • Collaborative work environment with cutting-edge technology.
  • Involvement in significant projects with national security implications.
  • Flexible work arrangements and remote work opportunities.
Full Job Description
Yellow Duck Technologies is seeking a Software Engineer with TS/SCI with Polygraph clearance to join our artificial intelligence and machine learning (AI/ML) team. Responsibilities include training, hosting, and the optimization of Large Language Model (LLM) instances within our computing environment.

Requirements:
  • Must have an active TS/SCI clearance with Polygraph.
  • 12+ years of experience in software engineering, with a focus on machine learning or natural language processing.
  • Degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Solid understanding of LLM architectures, training techniques, and evaluation methodologies.
  • Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
  • Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment.
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration abilities to work effectively with cross-functional teams.

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