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Software Engineer - ML Infrastructure

Anduril· AFS : Discovery Engineering : ML Infrastructure
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Costa Mesa, CA$166k - $220kFull-timePosted 2mo ago

About the role

Software Engineer on the ML Infrastructure team responsible for core data management, model training/orchestration systems, and internal perception platform to support perception engineers and edge deployments.

Responsibilities

  • Build & operate our core model training & dataset management infrastructure: own and operate core training systems and dataset management infrastructure.
  • Improve perception engineer-facing tooling & SDKs: partner with perception engineers to understand pain-points and deliver features.
  • Integrate frontier models for data augmentation, curation, and synthetic data generation: integrate frontier models at all stages of dataset curation/annotation pipeline and enable semantic search across data holdings.
  • Enable observability & traceability of the full ML lifecycle: build systems for real-time monitoring of training jobs, store/curate model evaluation reports, and manage model registry; integrate with Fleet Management systems to deliver model improvements to edge systems.
  • Eagerly engage with our customers: collaborate with business line engineering teams to understand data requirements and iteratively deliver solutions.

Qualifications

  • Strong proficiency in modern Python & exposure to Rust/the Rust ↔ Python toolchain (PyO3, Maturin, etc).
  • Experience with modern deep learning frameworks such as TensorFlow or PyTorch, and distributed training paradigms.
  • Experience leveraging modern MLOps tooling on the orchestration side (Modal, Flyte, Airflow, Dagster, etc.), as well as ML observability platforms (Weights & Biases, MLFlow, etc).
  • Familiarity with building and deploying backend services into a Kubernetes environment.
  • U.S. Person status is required as this position needs to access export controlled data. Eligibility to obtain/maintain a US Top Secret clearance is also desirable.

Skills

Required:PythonDeep learning frameworks
Nice to have:RustMLOps toolingML observability platformsKubernetes

Benefits

  • Top-tier benefits for full-time employees; comprehensive, competitive benefits package available at little to no cost to employees.
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Anduril

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