Base Salary
$126k - $264k/yr
Responsibilities
- Implement and productionize machine learning models and transform prototypes into production-ready systems.
- Scale models, clean model code, and ensure production quality and deployment readiness.
- Automate ML workflows from data extraction, transformation, and loading through model deployment and monitoring.
- Create infrastructure, frameworks, metrics, tools, platforms, environments, and internal services for model monitoring and operations.
- Monitor deployed model performance, troubleshoot ML infrastructure and workflows, and develop durable solutions to prevent recurring issues.
- Evaluate and mitigate data quality, bias, fairness, security, and privacy issues affecting modeling.
- Prepare data through cleaning, preprocessing, and feature identification for model training.
- Integrate ML models into new and existing systems and coordinate with data scientists, software developers, product, operations, and release stakeholders.
- Write, maintain, test, review, document, and deploy efficient code using version control and code review practices.
- Coordinate moderately complex projects, prioritize work across projects, and provide technical oversight.
- Coach and mentor junior team members and participate in candidate interviews and hiring recommendations.
Requirements
- Machine learning and software development expertise sufficient to implement, deploy, monitor, and troubleshoot production ML models.
- Experience developing ML infrastructure, automated workflows, model monitoring, internal tools, platforms, and services.
- Ability to address model performance, scalability, stability, maintenance, data quality, security, and privacy considerations.
- Ability to develop efficient code from scratch and maintain existing codebases with testing, documentation, version control, code review, and deployment practices.
- Familiarity with current machine learning developments and third-party ML frameworks, packages, and libraries.
- Ability to coordinate moderately complex initiatives, provide technical oversight, solve complex problems, collaborate across teams, and mentor junior members.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability insurance, 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 auto, homeowner, and pet insurance.
- US hiring range is $126,200–$264,100 per annum, with potential bonus, equity, and compensation deferral.
- Applications are generally accepted for at least three calendar days or while the job remains posted.
Tech Stack
Categories
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.