
Senior Machine Learning Engineer (Applied Intelligence)
Anduril IndustriesBase Salary
$220k - $292k/yr
Responsibilities
- Harden and deploy ML prototypes as reliable production systems operating across cloud, edge, and on-premises factory environments.
- Build and maintain model-serving, inference, training, data ingestion, labeling, orchestration, and lifecycle-management infrastructure.
- Implement monitoring, alerting, observability, drift detection, validation gates, rollback procedures, and model governance.
- Own dataset creation, curation, versioning, experiment tracking, artifact management, and data-quality processes.
- Coordinate with ML research, data engineering, enterprise platform teams, manufacturing engineers, and factory operators to translate requirements into infrastructure.
- Participate in on-call rotations and incident response for deployed ML systems.
- Write production-quality code, contribute to architecture and code reviews, establish MLOps and secure-data 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.
- Proven experience taking ML models from prototype to production and maintaining them over time.
- Experience with on-call rotations, production incident management, observability, and systems requiring high availability or low latency.
- Strong Python proficiency and experience with PyTorch and TensorFlow.
- Experience deploying containerized ML services with Docker and Kubernetes.
- Data engineering experience with pipeline orchestration, data quality, and time-series or event-driven data.
- Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- U.S. Person status is required to access export-controlled data.
- Preferred qualifications include manufacturing, industrial, OT, edge ML, workflow orchestration, GPU and inference optimization, MLOps tooling, RAG and vector databases, computer vision, IoT and real-time systems, regulated environments, enterprise systems, and eligibility for a U.S. Secret security clearance.
Benefits
- Full-time employees receive a comprehensive benefits package available at little to no cost, supporting health, recovery, and related needs.
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.