Staff ML/MLOps Engineer — Maritime AI Platform Lead

Anduril Industries, Inc.; Costa Mesa (CA); On-site; USD 23,000 - 336,000; Full time

Benefits offered by this job

Comprehensive health benefits

Equity grants

Job summary

Anduril Industries, Inc. is seeking a Staff Machine Learning/MLOps Engineer to join their Applied Intelligence team. This role focuses on architecting and operationalizing advanced AI models within a digital shipbuilding environment.

The ideal candidate will have over 8 years of experience in software or ML engineering, proficiency in Python, and expertise in MLOps. They will collaborate across teams to deliver reliable AI tools that enhance production and logistics.

This position is based in Costa Mesa, California, and offers a competitive salary and comprehensive benefits package.

Qualifications

• Strong stakeholder management skills with proven experience aligning engineering, data, and manufacturing teams.
• 8+ years of experience in software or ML engineering with end-to-end delivery of production-grade AI/ML systems.
• Deep experience with MLOps: data acquisition, labeling, curation, pipeline management, model versioning, continuous integration, and model monitoring.
• Strong proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow).
• Experience in building and deploying containerized ML services using Docker and Kubernetes.

Responsibilities

• Architect and own the AI/ML platform stack.
• Select, prioritize, and standardize industrial AI components.
• Build model-serving and inference frameworks.
• Translate factory scenarios into applied AI workflows.
• Implement event-driven data pipelines and telemetry systems.

Skills

Stakeholder management

Software or ML engineering (8+ years)

MLOps expertise

Python proficiency

Containerized ML services (Docker, Kubernetes)

Data engineering skills

Model observability and monitoring

Communication and documentation abilities

Security clearance eligibility

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Flyte

Airflow

Job description

Anduril Industries, Inc. is seeking a Staff Machine Learning/MLOps Engineer to join their Applied Intelligence team. This role focuses on architecting and operationalizing advanced AI models within a digital shipbuilding environment.

The ideal candidate will have over 8 years of experience in software or ML engineering, proficiency in Python, and expertise in MLOps. They will collaborate across teams to deliver reliable AI tools that enhance production and logistics.

This position is based in Costa Mesa, California, and offers a competitive salary and comprehensive benefits package.