AI Engineer III - Blue Ring

Reposted 18 Days Ago
Be an Early Applicant
Reston, VA, USA
In-Office
165K-231K Annually
Senior level
Aerospace
The Role
Design, build, and operate AI/ML capabilities for satellite operations including multi-agent systems, RAG pipelines, vector DBs, time-series anomaly detection and failure prediction, containerized AWS deployments, CI/CD, observability, human-in-the-loop workflows, and on-call production support.
Summary Generated by Built In

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 III to join the Blue Ring software team. You will help develop and deliver the AI and machine learning capabilities embedded in Blue Ring's ground system, spanning multi-agent monitoring, predictive anomaly detection, conversational knowledge retrieval, and AI-assisted decision-making that enable a small operations team to manage an entire satellite fleet. This role requires a hands-on engineer with deep expertise across the full AI/ML development lifecycle, from building multi-agent systems and retrieval-augmented generation pipelines to training and deploying time-series ML models on real spacecraft telemetry.

Role and Responsibilities:

As a key member of the Blue Ring AI/ML engineering team, you will build, deploy, and iterate on AI/ML systems that serve as the intelligence layer for Blue Origin's satellite fleet operations. Working within the architectural direction set by the team lead, you will translate system designs into production-ready implementations and contribute technical recommendations that shape the platform's evolution. You will be expected to:

Multi-Agent System Development:

  • Implement and optimize multi-agent systems that coordinate across telemetry analysis, anomaly detection, flight dynamics, and mission planning domains
  • Build and maintain agent orchestration frameworks that integrate with LLM services and ground system services for reliable agent execution with observability and memory
  • Develop and deploy RAG 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 where 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 drive root-cause analysis for production issues

Model Development (Post-training and Time-series Analysis)

  • 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 that incorporate operator feedback and new flight data
  • Explore compressed models for resource-constrained deployment scenarios

Required Qualifications:

  • Able to work onsite in one of our Kent, WA, Renton, WA, or Reston, VA 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 with a focus on AI/ML applications in production environments
  • Proficiency in Python and at least one AI/ML framework (PyTorch, TensorFlow)
  • Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in production
  • Experience designing and operating RAG pipelines, including vector databases, embedding models, and retrieval strategies
  • Experience with time-series ML models (RNNs, LSTMs, Transformers) for anomaly detection or forecasting on sensor/telemetry data
  • Experience with cloud platforms (AWS preferred), containerization (Docker, 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

Preferred Qualifications:

  • Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
  • Experience with Databricks or similar platforms for large-scale data engineering and ML model training
  • Familiarity with spacecraft operations, satellite telemetry, or aerospace systems
  • Experience with reinforcement learning, including multi-agent RL, 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 (Kafka, Kinesis) and high-frequency data ingestion
  • Understanding 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

 

Compensation Range for:

WA applicants is $164,652.00 - $230,512.80

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 System (DBIDS) background check if at any time the role requires one to be on a military installation

  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.

  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include:  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.

  • Stock Options for all regular employees (working at least 20 hours/week)

  • Paid Time Off:  Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.

  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [email protected]. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.

Skills Required

  • Able to work onsite in Kent, WA, Renton, WA, or Reston, VA
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
  • 5+ years of professional software development experience with a focus on AI/ML production environments
  • Proficiency in Python and at least one AI/ML framework (PyTorch, TensorFlow)
  • Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in production
  • Experience designing and operating RAG pipelines, including vector databases, embedding models, and retrieval strategies
  • Experience with time-series ML models (RNNs, LSTMs, Transformers) for anomaly detection or forecasting on telemetry data
  • Experience with cloud platforms (AWS preferred), containerization (Docker, 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
  • Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
  • Experience with Databricks or similar platforms for large-scale data engineering and ML model training
  • Familiarity with spacecraft operations, satellite telemetry, or aerospace systems
  • Experience with reinforcement learning, including multi-agent RL, 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 (Kafka, Kinesis) and high-frequency data ingestion
  • Understanding 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

Blue Origin Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Origin and has not been reviewed or approved by Blue Origin.

  • Healthcare Strength Health coverage is offered through a major national carrier with PPO and HDHP options, broad networks, virtual care, and in‑network preventive care fully covered. Feedback suggests the medical, dental, and vision setup is straightforward and comprehensive.
  • Retirement Support A simple 401(k) structure matches a set portion of employee contributions each pay period, making savings predictable. Feedback suggests this match is a consistent pillar of the total rewards package.
  • Leave & Time Off Breadth PTO accrues to roughly four weeks annually and most federal holidays are observed, with some years including additional floating days. Feedback suggests time‑off breadth is a notable part of the package, even as details can vary by role and year.

Blue Origin Insights

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The Company
HQ: Kent, WA
10,001 Employees
Year Founded: 2000

What We Do

Blue Origin was founded by Jeff Bezos with the vision of enabling a future where millions of people are living and working in space for the benefit of Earth. In order to preserve Earth, Blue Origin believes that humanity will need to expand, explore, find new energy and material resources, and move industries that stress Earth into space. Blue is working on this today by developing partially and fully reusable launch vehicles that are safe, low cost and serve the needs of all civil, commercial and defense customers.

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