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Staff Machine Learning/MLOps Engineer
Summary by AIEngineer.careers
Staff Machine Learning/MLOps Engineer is a MLOps Engineer role (full-time). with Anduril Industries. in COSTA MESA, US. Compensation shown: $23K–$336K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
COSTA MESA · US
$23K–$336K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Anduril Industries is seeking a Staff Machine Learning/MLOps Engineer to lead the design, deployment, and sustainment of AI infrastructure for their Maritime Digital Production team. The role focuses on operationalizing advanced models, building ML platform components, and integrating AI into production systems with human-in-the-loop controls. The engineer will collaborate across teams to translate factory scenarios into applied AI workflows.
Responsibilities
- Architect and own the AI/ML platform stack from data ingestion to model monitoring.
- Select, prioritize, and standardize industrial AI components including feature stores, vector databases, and orchestration layers.
- Build model-serving and inference frameworks for production environments across cloud, edge, and shop-floor systems.
- Translate factory scenarios into applied AI workflows with human-in-the-loop gates and integration contracts.
- Implement event-driven data pipelines and telemetry systems.
- Drive make/buy strategy for AI capabilities.
- Define model governance processes for validation, safety, and rollback.
- Lead reliability engineering for deployed models.
- Mentor junior engineers and establish MLOps best practices.
Requirements
Anduril Industries
Costa Mesa · US · 5985+ employees
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems, robotics, and artificial intelligence for military and national security applications. The company focuses on creating modern defense capabilities to protect U.S. and allied forces, operating with a model that emphasizes speed, innovation, and end-to-end product control.
