Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch

$115K — $150K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1-4 years of experience with Python for data analysis and machine learning tasks
  • Knowledge of machine learning concepts including supervised learning and model evaluation
  • Familiarity with standard data science libraries and development tools
  • Strong analytical and problem-solving skills
  • Team collaboration and clear technical communication skills
  • Active TS/SCI clearance with a polygraph
  • Bachelor's degree in computer science or related field, or a master's with limited experience

Responsibilities

  • Develop and deploy AI/ML solutions to enhance operational workflows
  • Collaborate with analysts and mission leadership to identify and translate operational needs
  • Support integration of AI capabilities into existing operational systems
  • Develop effective LLM-powered workflows and agent-based automation
  • Contribute to data pipeline development and model evaluation
  • Optimize workflows and conduct operational testing for AI solutions

Benefits

  • Opportunity to work on mission-critical projects in national security
  • Collaborative environment with multidisciplinary teams
  • Experience integrating AI technologies in defense and intelligence
  • Access to cutting-edge tools and technologies in AI and ML
  • Work in a secure and dynamic environment with strong data governance
Full Job Description
Job Title

Artificial Intelligence/Machine Learning Engineer, Junior

Responsibilities

Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can't wait.

Qualifications

You Have:
  • 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
  • Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
  • Familiarity with standard data science libraries and development tools
  • Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
  • Ability to collaborate within a team and communicate technical concepts clearly
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master's degree with limited experience


Nice If You Have:
  • Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
  • Experience with version control tools such as Git and collaborative development environments
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow
  • Knowledge of large language models (LLMs) and generative AI concepts
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization technologies such as Docker or Kubernetes
  • Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
  • Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55.28 to $72.11 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance Level

TS/SCI CIP

Job Locations

US-MD-Annapolis Junction

Skills

AI/ML, LLM, API, Python

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