Data / ML Platform Engineer
Core
Build data and ML infrastructure to support customer algorithm teams in defense projects, bridging internal platform engineering with hands-on customer delivery.
Role type
Senior IC data/ML platform engineer
Builds
Production data and ML pipelines for multimodal sensor data (video, radar, RF, telemetry) and reusable data products
Domain
Defense technology, AI, command & control systems
Deliverable
production ML models
Required skills
Python, SQL, Kubernetes, MLOps, data modeling, multimodal sensor data handling, customer-facing integration
Preferred skills
Algorithms background, semantic layer/ontology technologies, MLOps frameworks (MLflow, Kubeflow, Airflow), data lake architectures (Iceberg, Delta), ELT/ETL design, defense/aerospace background
Technologies
Python, SQL, Kubernetes, MLflow, Kubeflow, Airflow, dbt, Snowflake, Athena, BigQuery, Iceberg, Delta, EO/IR, radar, RF, geospatial, IMU, LiDAR
Responsibilities
Support customer algorithm teams across the full ML lifecycle (annotation, training, evaluation, observability); Build and operate data/ML pipelines for multimodal sensor data; Seed and deploy new data products in customer projects; Maintain data environments and model onboarding/evaluation workflows; Partner with algorithms, product, and DevOps teams to establish MLOps standards
Seniority
Senior, hands-on IC