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Blue Origin

Builds rockets, engines and lunar spacecraft

AI Engineer 3

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Able to work onsite in one of the Kent, Washington, Renton, Washington, or Reston, Virginia offices.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field.
  • 5+ years of professional software development experience focused on AI/ML applications in production environments.
  • Proficiency in Python and at least one AI/ML framework, such as PyTorch or TensorFlow.
  • Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in production.
  • Experience designing and operating retrieval-augmented generation pipelines, including vector databases, embedding models, and retrieval strategies.
  • Experience with time-series machine learning models, including RNNs, LSTMs, or Transformers, for anomaly detection or forecasting on sensor or telemetry data.
  • Experience with cloud platforms, preferably AWS; containerization with Docker or Kubernetes; and CI/CD pipeline implementation.
  • Knowledge of professional software engineering practices, including code reviews, source control, automated testing, and operational excellence.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent written and verbal communication skills for documentation and cross-team collaboration.
  • Must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted to the United States as a refugee or granted asylum.

Responsibilities

  • Implement and optimize multi-agent systems coordinating telemetry analysis, anomaly detection, flight dynamics, and mission planning.
  • Build and maintain agent orchestration frameworks that integrate with large language model services and ground system services, supporting reliable agent execution with observability and memory.
  • Develop and deploy retrieval-augmented generation pipelines over flight manuals, operations procedures, design documents, and historical log files.
  • Manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries.
  • Implement human-in-the-loop decision workflows in which agents present investigation plans and remediation options for operator approval.
  • Develop confidence scoring and validation systems for AI recommendations.
  • Deploy containerized AI services on AWS with infrastructure-as-code, CI/CD pipelines, observability, and automated testing.
  • Support on-call rotations and conduct root-cause analysis for production issues.
  • Develop anomaly detection models that identify telemetry deviations beyond threshold-based monitoring.
  • Train and deploy sequence-based models for failure prediction on telemetry data.
  • Build automated model retraining pipelines incorporating operator feedback and new flight data.
  • Explore compressed models for resource-constrained deployment scenarios.

Desired Qualifications

  • Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services.
  • Experience with Databricks or similar platforms for large-scale data engineering and machine learning model training.
  • Familiarity with spacecraft operations, satellite telemetry, or aerospace systems.
  • Experience with reinforcement learning, including multi-agent reinforcement learning, deep Q-networks, or policy gradient methods.
  • Experience with graph neural networks for network optimization or topology-aware problems.
  • Background in model compression, quantization, or edge deployment for resource-constrained environments.
  • Experience with real-time data streaming systems such as Kafka or Kinesis and high-frequency data ingestion.
  • Understanding of formal verification, safety-critical systems, or graduated autonomy frameworks.
  • Experience building observability and audit systems for AI decision pipelines in regulated or mission-critical domains.
  • Research publications in machine learning, multi-agent systems, or applied AI, and/or open-source contributions.

About the Company

Blue Origin

Builds rockets, engines and lunar spacecraft

Blue Origin builds rockets, engines and spacecraft for commercial satellite operators and government space programs. Its New Glenn orbital rocket uses a reusable first stage, while Blue Moon landers are designed to transport cargo and astronauts to the lunar surface. The company designs and manufactures liquid-fueled propulsion systems, and its New Shepard vehicle is built for short suborbital trips carrying people and research payloads. Customers pay for launch services and engines, and government development contracts fund work on systems for exploration beyond Earth orbit. Founded by Jeff Bezos in 2000, Blue Origin is headquartered in Kent, Washington.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$10.1B
Headquarters
Kent, WA
Founded
2000

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