Senior Machine Learning/MLOps Engineer

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 building and deploying containerized ML services using Docker and Kubernetes. Proficiency in data engineering, time-series data modeling, and working with semantic/ontology-driven data systems. Experience implementing observability for model performance, inference accuracy, and data drift. Familiarity with event-driven architectures, IoT/UNS patterns, and real-time systems integration. Excellent communication and documentation abilities; able to bridge research, platform, and production domains. Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED

QUALIFICATIONS Experience applying AI/ML within manufacturing, logistics, industrial control, or production environments. Background with digital twins, predictive maintenance, OCR/IDP, CV, or STT model integrations. Experience with workflow/orchestration tools such as Flyte, Airflow, Kubeflow, or Temporal. Familiarity with GPU acceleration (CUDA) and inference optimization (TensorRT, Triton). Experience in regulated environments (NNPI/ITAR) and secure model/data governance. Demonstrated ability to mentor engineers and set technical direction for AI/ML infrastructure at scale. US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of

compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total

compensation package. Additionally, Anduril offers top-tier

benefits for full-time employees, including:

Benefits At Anduril, we invest in our people. Our comprehensive, competitive

benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our

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