Senior Machine Learning Engineer, MLOps West Coast
Autodesk
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How this pay compares to similar roles
This role pays more than 76% of similar roles. Most pay $175,875–$252,625 — the shaded band above. At the midpoint, this role pays about $256k versus about $214k for comparable roles.
Based on 240 similar postings.
Employer
Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.
Anduril Industries currently has 1882 open roles on FindRole.
Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.
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At a glance
As a Senior Machine Learning/MLOps Engineer on the Applied Intelligence team within Maritime Digital Production, you will lead the design and deployment of an AI-enabled backbone for digital shipbuilding. Your responsibilities include architecting and implementing core components such as data stores, vector databases, and model-serving frameworks, while integrating off-the-shelf models for computer vision, OCR/IDP, speech, and retrieval-augmented generation. You’ll work across various teams to translate real factory scenarios into applied AI capabilities with human-in-the-loop controls and integrations with enterprise systems like PLM, MES, CMMS, and ERP. The role requires expertise in Python, deep learning frameworks (PyTorch, TensorFlow), Docker, Kubernetes, and data engineering, along with experience in MLOps practices and observability for model performance. Ideal candidates have a background in manufacturing or logistics environments and can mentor junior engineers while setting technical direction for AI/ML infrastructure at scale.
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