Principal Machine Learning Engineer
Oracle
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 77% of similar roles. Most pay $198,000–$254,750 — the blue band above. At the midpoint, this role pays about $195k versus about $226k for comparable roles.
Based on 240 similar postings.
Employer
Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.
Oracle currently has 955 open roles on FindRole.
Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.
Most-posted roles
At a glance
The Principal Machine Learning Engineer joins the Product and Research team to implement machine learning model serving for production environments. This role involves automating machine learning workflows, including data extraction, transformation, and loading, while creating infrastructure to monitor model performance and alignment with design criteria. The engineer will develop efficient, bug-free code from scratch, maintain internal tools and platforms, and provide expert troubleshooting for machine learning engineering infrastructure. Key technical requirements include proficiency with third-party machine learning frameworks, packages, and libraries such as PyTorch, TensorFlow, and Keras. The position focuses on the operational considerations of model deployment, specifically addressing scalability, stability, and maintenance. Additionally, the role involves evaluating data quality, security, and privacy issues to ensure robust production readiness and seamless integration into existing systems.
What does a Machine Learning Engineer earn?
Median $235750 from 323 postings across 48 companies.
Skills
What you'll do
What we're looking for
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