Senior Machine Learning Engineer (Applied Intelligence)
Anduril IndustriesBase Salary
$220k - $292k/yr
Responsibilities
- Harden and deploy ML prototypes as reliable production systems serving manufacturing operations.
- Build and operate inference infrastructure across cloud environments, edge compute clusters, and on-premises OT hardware.
- Implement monitoring, alerting, drift detection, validation gates, rollback procedures, and safety reviews for production ML systems.
- Own the ML platform stack across data ingestion, labeling, training orchestration, model serving, and lifecycle management.
- Build event-driven data pipelines and telemetry systems using real-time signals from factory sensors and production systems.
- Manage datasets, data labeling, data quality, experiment tracking, model versioning, artifact management, and governance.
- Coordinate with ML research, data engineering, enterprise platform, manufacturing engineering, and factory operations teams.
- Participate in on-call rotations and production incident response for deployed ML systems.
- Write production-quality tested code, establish MLOps and observability practices, and mentor junior engineers and data scientists.
Requirements
- 6+ years of experience in software engineering or ML engineering roles building production systems.
- Strong production MLOps experience covering data pipelines, model versioning, deployment automation, and monitoring.
- Demonstrated experience taking ML models from prototype to production and maintaining them over time.
- Experience with on-call rotations and production incident management for data or ML systems.
- Strong Python proficiency and experience with PyTorch or TensorFlow.
- Experience building and deploying containerized ML services with Docker and Kubernetes.
- Solid data engineering experience with pipeline orchestration, data quality management, and time-series or event-driven data.
- Experience implementing observability for model performance, inference accuracy, and data drift.
- Experience building reliable, high-availability, low-latency systems under real-world operational constraints.
- Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field.
- U.S. Person status is required to access export-controlled data.
- Preferred experience includes manufacturing, industrial, OT, MES, SCADA, factory automation, IoT, edge ML, GPU infrastructure, workflow orchestration, MLOps tooling, RAG, vector databases, computer vision deployment, regulated environments, and enterprise systems.
- Eligible to obtain and maintain a U.S. Secret security clearance.
Benefits
- US base salary range of $220,000—$292,000; highly competitive equity grants are included in most full-time offers but are excluded from the stated base range.
- Comprehensive benefits available at little to no cost to employees, including support for health and recovery.
- Full-time position with work spanning cloud, edge, on-premises OT, and factory-floor environments.
Tech Stack
Categories
About Anduril Industries
Anduril is not a traditional defense contractor. We are shaping the future of defense, transforming US & allied military capabilities with advanced technology. We emphasize speed and results and control our products from start to finish, including funding R&D to selling finished products off the shelf. Today, Anduril is in a rapid growth phase, deploying technology in diverse locations and developing path-making products that will change defense forever. We believe that everyone at Anduril can be a catalyst. Your perspective can change lives, and we want to help you make your mark. Our team includes thinkers and doers working interdependently. We bring the brightest minds and best-in-class talent together with veterans who have lived the problems of our warfighters. If you like building quickly and seeing your work deployed in the real world, we want you at Anduril. With offices in Orange County, Washington DC, Seattle, Boston, Atlanta, London, and Sydney, our reach is wide. Check out our careers page at https://www.anduril.com/careers or send us an email at careers@anduril.com.