Staff Machine Learning/MLOps Engineer

Anduril
California
Workplace: OnsiteFull timeUSD 220,000 - 292,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Mentorship","Problem-solving","Leadership"]

Lead the design, deployment, and sustainment of an AI-enabled platform powering production AI in a maritime digital shipbuilding context. You'll architect data/feature stores, model-serving frameworks, and integration with PLM/MES/CMMS/ERP, applying off-the-shelf CV/OCR/STT and RAG capabilities while ensuring human-in-the-loop controls, auditability, and safety gates across cloud, edge, and shop-floor environments.

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FursaFursa
Anduril
Anduril
8 months ago

Staff Machine Learning/MLOps Engineer

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead the design, deployment, and sustainment of an AI-enabled platform powering production AI in a maritime digital shipbuilding context. You'll architect data/feature stores, model-serving frameworks, and integration with PLM/MES/CMMS/ERP, applying off-the-shelf CV/OCR/STT and RAG capabilities while ensuring human-in-the-loop controls, auditability, and safety gates across cloud, edge, and shop-floor environments.
Location: California
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect and own the AI/ML platform stack—from data ingestion, labeling, and feature engineering to model training, deployment, monitoring, and lifecycle management.
  • •Select, prioritize, and standardize industrial AI components including feature stores, vector databases + RAG, OCR/IDP and CV/STT providers, orchestration layers, and observability systems.
  • •Build model-serving and inference frameworks optimized for production environments, supporting real-time and batch execution across cloud, edge, and shop-floor systems.
  • •Translate factory scenarios (receiving, inspection, RCCA, scheduling) into applied AI workflows with defined human-in-the-loop gates, audit trails, and integration contracts with PLM, MES, CMMS, ERP, and the unified data plane.
  • •Implement event-driven data pipelines and telemetry systems that feed models with contextualized, real-time signals from production and logistics systems.

Pay and Benefits

Salary: USD 220,000 - 292,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementLife InsuranceDisability InsuranceEquity401kPensionTime Off

Key Requirements

  • •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 building and deploying containerized ML services using Docker and Kubernetes.
  • •Strong stakeholder management skills with proven experience aligning engineering, data, and manufacturing teams.
Experience:8+ yearsDefenseMaritimeManufacturingLogistics
Skills:CommunicationMentorshipProblem-solvingLeadership
Languages:English
Tech Stack:PythonPyTorchTensorFlowDockerKubernetesFlyteAirflowKubeflowTemporalTensorRTTritonCUDAOCRIDPCVSTTVector databasesRAGSQLERP

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
Security Clearance:Secret

Company Brief

Anduril
Designs and builds advanced defense systems combining autonomous aircraft, sensors, and AI-driven software for military and national security applications, focused on modernizing battlefield capabilities and distributed sensing.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Costa Mesa, United States
Founded: 2017
WebsiteLinkedIn