7 days ago
Base Salary
$126k - $264k/yr
Responsibilities
- Implement and productionize machine learning model-serving systems.
- Automate workflows from ETL through model deployment and monitoring.
- Build infrastructure and frameworks to monitor deployed model performance and alignment with design criteria.
- Integrate open-source models into new and existing systems while addressing scalability, stability, performance, and maintenance concerns.
- Develop and maintain internal tools, platforms, environments, and services.
- Troubleshoot and debug machine learning serving infrastructure and workflows.
- Develop, test, review, document, and maintain production-quality code.
- Coordinate moderately complex tasks, delegate and prioritize work across projects, and provide technical oversight.
- Coach and mentor junior team members and participate in candidate interviews and hiring recommendations.
- Drive process improvements and communicate technical decisions with cross-functional stakeholders.
Requirements
- Machine learning and software development expertise sufficient to implement and operate production model-serving systems.
- Experience with model deployment, serving readiness, workflow automation, monitoring, troubleshooting, and production quality practices.
- Familiarity with third-party machine learning frameworks, packages, and libraries such as PyTorch, TensorFlow, and Keras.
- Ability to develop efficient code, maintain codebases, apply code review and delivery practices, and create technical documentation.
- Ability to collaborate with data scientists, software developers, product management, operations, release management, and other stakeholders.
- Ability to manage moderately complex initiatives, provide technical oversight, solve problems, mentor junior colleagues, and contribute to hiring.
- Familiarity with current developments in machine learning engineering and the ability to evaluate framework performance and scalability.
Benefits
- US hiring range is $126,200 to $264,100 per annum, with potential bonus, equity, and compensation deferral.
- Medical, dental, vision, disability, life, AD&D, flexible spending, commuter, and parking benefits are offered.
- Oracle provides a 401(k) plan with company match, paid time off, paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Additional benefits include an employee stock purchase plan, financial planning, group legal services, and voluntary insurance benefits.
- US-based employees must 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.