Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA new

Anduril Industries
Full time
Email

USA
10/16/2026
Report

Santa Ana, CA

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.

Salary: $220k - $292k/yr

Anduril Industries

Anduril Industries builds advanced autonomous systems designed to enhance military awareness and security across land, sea, and air. Targeting defense agencies and allied military forces, it leverages its proprietary Lattice platform to drive innovation in military capabilities. What sets Anduril...

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