Machine Learning Engineer

Job Description

Job Description

Position Overview

We are seeking a skilled Machine Learning Engineer to join our team, focusing on advanced AI/ML solutions for weapon system mission planning and aerospace applications. This role combines cutting-edge machine learning research with critical defense applications and complex systems modeling. The ideal candidate will drive the development of intelligent systems that enhance mission planning capabilities while working on challenging real-world problems in the aerospace and defense domain.

Key Responsibilities

Research & Development

• Design, develop, and deploy machine learning models for weapon system mission planning and optimization
• Implement reinforcement learning algorithms for autonomous decision-making in complex operational environments
• Build and optimize neural networks for trajectory planning, threat assessment, and resource allocation
• Develop regression models and statistical approaches for performance prediction and system analysis including uncertainty quantification

Data Engineering & Analysis

• Conduct comprehensive data analysis to extract insights from aerospace and defense datasets
• Design and execute experiments to validate model performance and generate training data
• Create robust data pipelines for ingesting, processing, and validating mission-critical data
• Perform modeling and simulation studies to support system design and operational planning

Technical Implementation

• Design machine learning solutions to address complex real-world defense problems
• Implement scalable ML solutions using Python and state-of-the-art frameworks
• Leverage in-house and industry standard tools to simulate mission operations
• Collaborate with systems engineers and domain experts to develop AI/ML capabilities for defense systems

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Aerospace Engineering, or related technical field
• 2+ years professional experience in machine learning engineering using Python

• Knowledge of regression modeling, statistical analysis, and experimental design
• Understanding of data generation techniques and synthetic data creation
• Must be a U.S. citizen for consideration

• Ability to obtain and maintain appropriate security clearance

Preferred Qualifications

• Experience with ML and RL packages such as TensorFlow, PyTorch, XGBoost, scikit-learn, stable baselines, and OpenAI Gym
• Experience with data processing and analysis tools such as pandas, NumPy, scipy, and JMP
• Experience with agent-based modeling software like AFSIM and STK
• Knowledge of weapon systems, military operations, or defense planning processes
• Experience with Git version control and collaborative development workflows
• Familiarity with Linux and high-performance computing workflows
• Experience in modeling and simulation for complex systems
• Knowledge of path planning and obstacle avoidance algorithms such as Dubin's curves and RRT methods
• Background in operations research, optimization, or control systems
• Strong technical writing and presentation skills including high-dimensional data visualization

Additional Information

• Verity Integrated Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

If you're passionate about solving complex problems with AI and are eager to grow within a supportive, dynamic team, apply today!