Applied Machine Learning Engineer
Core
Translating cutting-edge AI research into robust, scalable, and production-ready machine learning solutions for space enterprise customers.
Role type
Senior IC machine learning engineer (production MLOps)
Builds
Production-grade ML models, scalable ML software architectures, and MLOps infrastructure for mission-critical applications
Domain
Aerospace, Defense, National Security, Space Systems
Deliverable
production ML models
Required skills
Python, C/C++, R, Machine Learning frameworks, Deep Learning, Docker, Kubernetes, MLOps, DevOps, Unix/Linux, Data structures
Preferred skills
High Performance Computing (GPUs/TPUs), CUDA, SQL/NoSQL, Big Data frameworks (Hadoop/Spark), Cloud platforms (AWS/Azure), Open-source contributions
Technologies
Python, Docker, Kubernetes, MLFlow, Kubeflow, Airflow, DVC, AWS, Azure, Hadoop, Spark, Kafka
Responsibilities
Evaluate technologies for scalable mission-critical applications, execute AI/ML experiments, develop proof-of-concept infrastructure and prototypes, collaborate on feature delivery, present results to stakeholders
Seniority
Senior, hands-on IC