2 months ago
Base Salary
$126k - $264k/yr
Responsibilities
- Productionize, scale, clean, deploy, and maintain machine learning models.
- Automate machine learning workflows from ETL through model deployment and monitoring.
- Build infrastructure and frameworks to monitor deployed model performance and develop operational metrics.
- Evaluate data quality, bias, fairness, security, and privacy issues affecting modeling.
- Integrate ML models into new and existing systems and troubleshoot ML infrastructure and workflows.
- Develop and maintain internal tools, platforms, environments, services, code, and technical documentation.
- Apply version control, code review, testing, and code delivery/deployment practices.
- Coordinate moderately complex projects, provide technical oversight, mentor junior team members, and participate in candidate interviews.
Requirements
- Machine learning and software development knowledge sufficient to implement and productionize ML models.
- Experience with machine learning frameworks, packages, and libraries such as PyTorch, TensorFlow, and Keras.
- Ability to develop efficient code, maintain codebases, test and review code, and document technical processes.
- Knowledge of model deployment considerations including performance, scalability, stability, and maintenance.
- Ability to analyze complex issues, collaborate with cross-functional stakeholders, and provide technical oversight.
- Ability to evaluate data quality, bias, fairness, security, and privacy impacts on data analysis and modeling.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term 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, paid sick leave, and paid parental leave.
- Adoption assistance, Employee Stock Purchase Plan, financial planning, group legal, and voluntary insurance benefits.
- US-based employees must complete identity verification involving collection and processing of biometric information, with accommodations potentially available following 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.