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Anduril Industries · 2 weeks ago

Machine Learning/MLOps Engineer

Costa Mesa, CA

Full-time

Onsite

Mid, Senior Level

$191K/yr - $253K/yr

3+ years exp

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. They are seeking a Machine Learning/MLOps Engineer to join the Applied Intelligence team, where the role involves building AI and automation systems to enhance business processes and workflows across design, production, logistics, and quality.

AerospaceArtificial Intelligence (AI)GovernmentMilitaryNational Security

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard

Implement automation workflows that streamline business and production processes—applying models, logic, and orchestration to remove manual steps and reduce friction

Integrate off-the-shelf models (OCR/IDP, CV, RAG, STT) into workflow solutions using standardized APIs, datasets, and orchestration layers

Build and maintain MLOps pipelines for data ingestion, labeling, versioning, training, evaluation, deployment, monitoring, and rollback

Deploy workflow automation and model-serving components in event-driven environments integrated with PLM, MES, CMMS, ERP, and unified data layers

Contribute to observability tools for monitoring inference performance, data quality, and workflow reliability

Collaborate with digital, manufacturing, and corporate technology teams to map current workflows, identify automation opportunities, and integrate solutions safely

Ensure all deployed AI/automation workflows include human-in-the-loop gates, audit trails, and compliance features required for production operations

Document integration contracts, workflow logic, data flows, and operational runbooks to support scaling and handoff

Qualification

Machine Learning EngineeringMLOpsPythonContainerization (Docker)ML Frameworks PyTorchML Frameworks TensorFlowData PipelinesWorkflow AutomationAPIsCross-functional CommunicationEvent-driven ArchitecturesProblem-solvingObservability Systems

Required

Strong stakeholder and cross-functional communication skills; able to gather workflow requirements and convert them into technical automation

3–6 years of experience in machine learning engineering, MLOps, or backend workflow automation

Proficiency in Python and experience with ML frameworks (PyTorch or TensorFlow) and data processing libraries

Experience building and deploying containerized services (Docker; familiarity with Kubernetes preferred)

Understanding of MLOps practices: data pipelines, model versioning, evaluation, CI/CD for ML, monitoring, and retraining

Experience working with off-the-shelf models (OCR/IDP, CV, STT, RAG) and integrating them into workflow pipelines

Familiarity with event-driven architectures, IoT or UNS patterns, and integration with enterprise systems

Experience with APIs, schema-based integration, and data contracts

Strong problem-solving skills with an ability to simplify workflows into modular, reusable automation components

Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred

Experience automating workflows in manufacturing, logistics, or enterprise business processes

Experience with workflow orchestration tools (Airflow, Flyte, Prefect, Temporal)

Familiarity with data engineering concepts, time-series data, and semantic/ontology-driven data structures

Exposure to observability systems (Prometheus, Grafana, ELK) for monitoring workflow reliability or model performance

Experience integrating AI models with PLM, MES, ERP, CMMS, or similar industrial systems

Interest in developing adaptive, human-in-the-loop workflow automations that blend ML, rules, and operational context

Benefits

Income Protection: Anduril covers life and disability insurance for all employees.

Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.

Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.

Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.

Professional Development: Annual reimbursement for professional development

Commuter Benefits: Company-funded commuter benefits based on your region.

Relocation Assistance: Available depending on role eligibility.

US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

UK & IE Roles: Pension plan with employer match.

AUS Roles: Superannuation plan.