AI Engineer II - Blue Ring

About this role

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. 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!   

The role is part of the In-Space Systems business unit, which is focused on addressing two of the most compelling challenges in spaceflight today: space infrastructure and increasing mobility on-orbit.

Blue Ring is Blue Origin's multi-mission space mobility platform, and this team is building the next generation of intelligent ground systems that will redefine how satellite fleets are operated—moving beyond manual monitoring and reactive processes.

We are seeking an AI Engineer II to join the Blue Ring software team. You will contribute to the AI and machine learning capabilities embedded in Blue Ring's ground system, spanning multi-agent monitoring, conversational knowledge retrieval, and ML-driven anomaly detection that empower satellite operations at fleet scale. In this role, you will help build agent tooling, maintain RAG knowledge pipelines, develop telemetry ML models, and support production AI services that operators rely on daily.

Role and Responsibilities: As a member of the Blue Ring AI/ML engineering team, you will contribute to the AI/ML systems that form the intelligence layer for Blue Origin's satellite fleet operations. Working alongside senior engineers, you will help build, test, and deploy the agents, knowledge pipelines, and ML models that reduce operator cognitive burden and enable fleet-scale management. You will be expected to:

Multi-Agent System Development: • Implement and test agent components within the multi-agent architecture for telemetry analysis, anomaly detection, and reporting • Build and maintain integrations that connect agents to ground system services • Develop agent tooling, prompt templates, and orchestration logic for LLM service integrations • Build and maintain RAG pipeline components including document ingestion, embedding generation, and vector database indexing • Implement retrieval strategies and answer generation workflows for operator queries • Implement components for human-in-the-loop decision workflows, including investigation packages and remediation options • Deploy and maintain containerized AI services using Docker and AWS infrastructure • Contribute to audit trail, observability systems, and production operations including incident response

Model Development (Post-training and Time-series Analysis): • Prepare and transform spacecraft telemetry data for ML model training • Assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data • Support automated model retraining pipelines that incorporate new flight data and operator feedback • Develop model evaluation scripts and metrics tracking

Required Qualifications: • Able to work onsite in one of our Kent, WA, Renton, WA, or Reston, VA offices. • Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field • 3+ years of professional software development experience with exposure to AI/ML applications • Proficiency in Python and familiarity with at least one AI/ML framework (PyTorch, TensorFlow) • Experience with building or contributing to LLM-based applications, RAG pipelines, or agent-based systems • Exposure to time-series data processing, anomaly detection, or ML model training on sensor or telemetry data • Experience with cloud platforms (AWS preferred), containerization (Docker), and basic CI/CD practices • Solid understanding of CS fundamentals: data structures, algorithms, object-oriented design, and version control • Strong analytical and problem-solving skills with attention to detail • Good written and verbal communication skills for documentation and team collaboration

Preferred Qualifications: • Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services • Experience with Databricks or similar platforms for data engineering and ML workflows • Familiarity with vector databases (e.g., Pinecone, pgvector, FAISS) and embedding model pipelines • 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 • Familiarity with spacecraft operations, satellite telemetry, or aerospace engineering concepts • Experience with infrastructure-as-code tools (Terraform) and Kubernetes • Experience with real-time data streaming systems (Kafka, Kinesis) • Familiarity with reinforcement learning concepts or graph neural network applications • Interest or experience in model compression, edge deployment, or resource-constrained inference

  Base Pay Range for: VA applicants is $134,961.00 - $188,945.40
WA applicants is $134,961.00 - $188,945.40 Other site ranges may differ

Culture Statement Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Background Check • Required for all positions: Blue’s Standard Background Check • Required for Certain Job Profiles:  Defense Biometric Identification Syste

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