Artificial Intelligence (AI) Engineer II

BLUE ORIGIN • West Melbourne, FL

1d

About The Position

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable. This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable. As part of a robust NG RF Systems Launch Engineering team, you will develop and train AI models to automate processes and solve complex problems. You will design, verify, and implement AI systems, ensuring they function effectively and align with RF Systems team objectives. Responsibilities include evaluate machine learning processes and selecting appropriate models, collect and analyze large datasets to train AI models, develop and deploy AI algorithms and systems, and collaborate with cross functional teams to establish goals for AI processes. Your implementations will include robust testing and validation of results to ensure accuracy and effectiveness via measurable metrics. You will manage data and project infrastructure and stay updated on the latest AI developments and technologies. In this, you will support mission-critical communication systems that maintain uninterrupted data links between ground stations and flight vehicles during dynamic flight conditions. Working alongside senior engineers, you will help build, test, and deploy the agents, knowledge pipelines, and ML models that reduce operator cognitive burden. You will assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data. We are looking for someone to apply their technical expertise, leadership skills, and dedication to quality to positively impact our mission of Millions of People Living and Working in Space for the Benefit of Earth. Passion for our mission and vision is required!

Requirements

• Bachelor of Science in Electrical Engineering, Computer Engineering, Machine Learning, or related field
• Proven experience as an AI Engineer or in a similar role
• Strong programming skills in languages such as Python, C/C++, Java
• Experience with machine learning frameworks and libraries
• Experience with building or contributing to LLM-based applications, RAG pipelines, or agent-based systems
• Hands on experience fine-tuning, adapting, and deploying LLM’s
• Experience with prompt engineering, embeddings, and content management
• Experience with cloud platforms (AWS preferred), containerization (Docker), and basic CI/CD practices
• Excellent analytical and problem-solving abilities, with attention to detail
• Solid understanding of CS fundamentals: data structures, algorithms, object-oriented design, and version control
• Effective communication and collaboration skills

Nice To Haves

• Master of Science in related subject areas
• Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
• Experience with Databricks or similar platforms for data engineering and ML workflows
• Experience with time-series ML architectures (RNNs, LSTMs, Transformers) for forecasting or anomaly detection
• Exposure to multi-agent system frameworks or agentic AI orchestration patterns
• Background with launch vehicle hardware development, integration, or test
• Knowledge of RF systems, telemetry system architectures, including multiplexers, encoders, transmitters, receivers, and ground station equipment
• Exposure to time-series data processing, anomaly detection, or ML model training on sensor or telemetry data
• Experience with RF link budget analysis and optimization for space-to-ground communications
• Demonstrated project management skills, including schedule development, resource allocation, and risk management

Responsibilities

• Evaluate machine learning processes and selecting appropriate models
• Collect and analyze large datasets to train AI models
• Develop and deploy AI algorithms and systems
• Collaborate with cross functional teams to establish goals for AI processes
• Implement robust testing and validation of results to ensure accuracy and effectiveness via measurable metrics
• Manage data and project infrastructure
• Stay updated on the latest AI developments and technologies
• Support mission-critical communication systems that maintain uninterrupted data links between ground stations and flight vehicles during dynamic flight conditions
• Help build, test, and deploy the agents, knowledge pipelines, and ML models that reduce operator cognitive burden
• Assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data

Benefits

• Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level