Machine Learning Engineer / Scientist - Trajectory Optimization Specialist

$135,000 - $175,000/Yr

Istox - Colorado Springs, CO

Full-time - Mid Level

Colorado Springs, CO

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Machine Learning Engineer / Scientist - Trajectory Optimization Specialist will focus on developing advanced trajectory optimization and machine learning predictive algorithms for autonomous vehicles, specifically supporting the Integrated Tactical Warning and Attack Assessment (ITW/AA) system. This role requires a strong background in machine learning, data science, and trajectory optimization to design, implement, and deploy algorithms that enhance the navigation and decision-making capabilities of autonomous systems.

Responsibilities

• Design and implement ML models and algorithms for physics-based trajectory generation and prediction, including reinforcement learning, deep learning, generative adversarial networks (GAN), and classical optimization techniques.
• Develop and optimize existing trajectory optimization algorithms for autonomous vehicles, focusing on safety, efficiency, and real-time performance.
• Collaborate with cross-functional teams, including aerospace engineers, software developers, and data scientists, to integrate trajectory optimization and predictive ML algorithms into autonomous systems.
• Collect, preprocess, and analyze large datasets to train and validate trajectory predictive models, ensuring robustness and reliability.
• Conduct research and stay updated with advancements in ML, trajectory optimization, and autonomous systems, applying new techniques to improve algorithms.
• Develop and maintain software infrastructure for trajectory optimization and ML predictive capabilities, including data pipelines, model deployment, and monitoring systems.
• Collaborate with stakeholders to define project requirements, timelines, and deliverables, ensuring alignment with business objectives.

Requirements

• Master's or PhD in Computer Science, Physics, Mathematics, or a related field, focusing on machine learning, trajectory optimization, or autonomous systems.
• Strong experience in ML, including deep learning frameworks (e.g., TensorFlow, PyTorch), classical optimization techniques, and reinforcement learning, particularly in the aerospace flight domain.
• Experience optimizing and implementing physics-based trajectory algorithms for autonomous vehicles or robotics.
• Proficiency in programming languages such as Python, C++, and MATLAB.
• Strong analytical and critical thinking skills, with the ability to interpret and visualize complex data for algorithm development.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Nice-to-haves

• Proficiency in AWS SageMaker tools and S3 data lake queries using Python.