Hybrid Senior AI/ML Engineer

at MetroStar

• Job title: Senior AI/ML Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $133,000 - $147,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Washington, D C, United States

About the role

• Sr. AI/ML Engineer designing, developing, and deploying AI solutions for secure web applications at MetroStar. Collaborating with teams to support mission-focused environments.

Responsibilities

• Design, develop, implement, and fine-tune AI and machine learning models to support web-based applications in secure environments with evolving use cases.
• Build and maintain data pipelines, training workflows, and experimentation environments to enable rapid model iteration and evaluation.
• Evaluate model performance using quantitative and qualitative metrics (e.g., accuracy, robustness, stability, efficiency, generalization) and translate results into actionable improvements.
• Analyze data, model outputs, and experimental results to recommend changes to algorithms, features, data sources, or system architecture.
• Proactively identify and assess tools, frameworks, and technologies that best support platform goals, balancing performance, scalability, and maintainability.
• Collaborate closely with software developers, data engineers, DevSecOps teams, and stakeholders to integrate AI capabilities into production systems.
• Ensure AI and data science solutions are transparent, testable, and maintainable to support long-term operational use.
• Communicate technical approaches, assumptions, tradeoffs, and results clearly to both technical and non-technical audiences, including during design reviews and demonstrations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
• Active Secret security clearance (required).
• 4+ years of experience in data science, machine learning, or applied artificial intelligence.
• Strong hands-on experience developing, training, and tuning AI/ML models using Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Experience selecting and applying appropriate modeling approaches (e.g., supervised, unsupervised, reinforcement learning, or hybrid methods) based on problem context.
• Strong software engineering fundamentals including API design, clean architecture, testing, and Git-based workflows.
• Ability to work effectively in ambiguous problem spaces, defining requirements, success metrics, and implementation steps as understanding evolves.
• Experience integrating AI models into web-based or service-oriented platforms, working alongside DevSecOps engineering teams.
• Solid understanding of the full AI lifecycle, including data preparation, experimentation, validation, deployment considerations, and ongoing model improvement.
• Strong analytical and problem-solving skills, with sound judgment on when to prototype, iterate, or rethink an approach.

Benefits

• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off (PTO) and holidays
• Parental Leave and dependent care
• Flexible work arrangements
• Professional development opportunities
• Employee assistance and wellness programs