This role pays less than
74%
of similar roles. Most pay
$192,050–$242,000
— the shaded band above.
At the midpoint, this role pays about
$195k
versus about
$217k
for comparable roles.
Based on 240 similar postings.
Employer
About Oracle
Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.
Oracle currently has
97 open roles
on FindRole.
Listed pay typically runs
$102,300–$209,500
across 76 roles with salary data.
As a Principal Machine Learning Engineer, you will join the team to implement machine learning models for production environments while ensuring they are ready for deployment through scaling, code cleaning, and quality assurance. You will build automated workflows covering data extraction, transformation, loading, and monitoring to establish continuous integration and delivery of machine learning solutions. Your daily work involves creating infrastructure to monitor performance, developing novel metrics for non-technical stakeholders, and addressing issues in machine learning infrastructure. You will utilize PyTorch, TensorFlow, and Keras while writing bug-free code from scratch to develop internal tools and platforms. The role focuses on the technical challenge of transitioning prototypes into production-ready systems while managing data quality, security, and privacy risks to ensure stable, scalable, and high-performing model integrations across various existing and new software systems.
What does a Machine Learning Engineer earn in California?
Median $239562 from 175 postings across 26 companies.
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TensorFlow
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