1 month ago
Base Salary
$126k - $264k/yr
Responsibilities
- Implement and productionize machine learning models.
- Automate ML workflows from data extraction, transformation, and loading through deployment and monitoring.
- Build infrastructure and frameworks to monitor deployed model performance and develop operational metrics.
- Evaluate and mitigate data quality, bias, fairness, security, and privacy issues affecting modeling.
- Integrate ML models into new and existing systems and address infrastructure and workflow issues.
- Develop, maintain, and refine internal tools, platforms, environments, and services.
- Write, test, review, document, and maintain efficient production code.
- Coordinate moderately complex projects, prioritize work, provide technical oversight, and adjust plans as needed.
- Collaborate with stakeholders across development, product management, operations, release management, data science, and software development.
- Coach and mentor junior team members and participate in candidate interviews and hiring recommendations.
Requirements
- Experience implementing and deploying machine learning models in production is required by the role scope.
- Knowledge of ML model scaling, production readiness, monitoring, data preparation, and operational considerations is required by the responsibilities.
- Familiarity with machine learning frameworks, packages, and libraries such as PyTorch, TensorFlow, and Keras is required by the role description.
- Ability to develop efficient code, maintain codebases, use version control and code review practices, test software, and create technical documentation is required.
- Ability to troubleshoot ML infrastructure and workflows and collaborate with technical and business stakeholders is required.
- Experience providing technical oversight, coordinating moderately complex work, mentoring junior team members, and contributing to hiring is preferred by the stated responsibilities.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability, life insurance, AD&D, and supplemental life insurance.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) Savings and Investment Plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan, financial planning, group legal, and voluntary insurance benefits.
- U.S. hiring range is $126,200 to $264,100 per annum, with potential bonus, equity, and compensation deferral.
- The role generally accepts applications for at least three calendar days from posting or while posted; U.S.-based employees must complete identity verification involving biometric information.
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.