1 day ago
Base Salary
$88k - $210k/yr
Responsibilities
- Implement and productionize machine learning model serving systems.
- Prepare, scale, clean, deploy, and monitor machine learning models and serving workflows.
- Automate workflows from ETL through model deployment and monitoring.
- Build infrastructure, frameworks, metrics, tools, platforms, and services for model performance monitoring and internal use.
- Integrate open-source models into new and existing systems while addressing performance, scalability, stability, and maintenance concerns.
- Provide troubleshooting and debugging support for machine learning serving infrastructure and workflows.
- Develop, test, review, document, and maintain efficient code and technical processes.
- Coordinate moderately complex projects, prioritize work across initiatives, and provide technical oversight.
- Collaborate with stakeholders across data science, software development, product management, operations, and release management.
- Coach and mentor junior team members, participate in interviews, and contribute to process improvements.
Requirements
- Experience applying machine learning and software development knowledge to production model serving.
- Ability to automate machine learning workflows and prepare models for scalable production deployment.
- Knowledge of model monitoring, performance metrics, operational considerations, and model-serving infrastructure.
- Experience with third-party machine learning frameworks, packages, and libraries such as PyTorch, TensorFlow, and Keras.
- Ability to develop efficient code, troubleshoot complex issues, test and review code, and maintain technical documentation.
- Ability to collaborate with technical and business stakeholders and coordinate moderately complex projects or initiatives.
- Familiarity with current developments in machine learning engineering and the ability to integrate new knowledge into model development.
- Ability to mentor junior team members and contribute to candidate interviews and hiring recommendations.
Benefits
- U.S. hiring range of $87,800 to $209,500 per annum, with possible bonus and equity eligibility.
- Medical, dental, and vision insurance, along with short- and long-term disability and life insurance.
- 401(k) plan with company match and an Employee Stock Purchase Plan.
- Paid vacation, 11 paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Flexible spending accounts, commuter and parking benefits, financial planning, group legal benefits, and voluntary insurance benefits.
- U.S.-based employees complete identity verification involving biometric information, with accommodations potentially available following an individualized assessment.
Tech Stack
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.