12 часов назад
AI Engineer II (AI)
134 961 - 188 945$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer II (AI/ML): Building intelligent ground-system capabilities for Blue Ring's satellite fleet, including multi-agent monitoring, RAG knowledge pipelines, telemetry models, and production AI services with an accent on anomaly detection, time-series forecasting, and operator decision support. Focus on developing agent tooling, deploying containerized AI services on AWS, retraining models with flight data and operator feedback, and maintaining observability and incident response.
Location: Onsite in Kent, WA; Renton, WA; or Reston, VA, United States
Base pay: $134,961–$188,945.40 per year for VA and WA applicants.
Company
develops reusable space vehicles and systems, with this role supporting the Blue Ring multi-mission space mobility platform.
What you will do
- Develop and test multi-agent components for telemetry analysis, anomaly detection, reporting, and operator workflows.
- Build agent integrations, prompt templates, orchestration logic, and human-in-the-loop investigation and remediation workflows.
- Maintain RAG pipelines for document ingestion, embeddings, vector indexing, retrieval, and answer generation.
- Prepare spacecraft telemetry data and support anomaly detection and time-series forecasting model development.
- Deploy and operate containerized AI services using Docker and AWS, including observability, audit trails, and incident response.
- Support automated model retraining, evaluation scripts, and metrics tracking using new flight data and operator feedback.
Requirements
- Ability to work onsite at the Kent, Renton, or Reston office.
- U.S. citizenship, nationality, permanent residency, refugee status, or asylum status is required under export control regulations.
- Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field.
- At least 3 years of professional software development experience with exposure to AI/ML applications.
- Python proficiency and familiarity with PyTorch, TensorFlow, or another AI/ML framework.
- Experience with LLM applications, RAG or agent-based systems, telemetry or time-series data, cloud platforms, Docker, and basic CI/CD.
Nice to have
- Experience with AWS Bedrock, SageMaker, Databricks, vector databases, Terraform, Kubernetes, Kafka, or Kinesis.
- Knowledge of spacecraft operations, satellite telemetry, aerospace engineering, reinforcement learning, graph neural networks, model compression, or edge deployment.
- Experience with RNNs, LSTMs, Transformers, or multi-agent orchestration frameworks.
Culture & Benefits
- Safety, collaboration, inclusion, trust, equality, and teamwork are emphasized.
- Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
- 401(k) with company matching of up to 5% and an Education Support Program.
- Stock options for regular employees working at least 20 hours per week.
- Up to four weeks of paid time off and up to 14 company-paid holidays.
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