DescriptionKey Responsibilities:
Anomaly Detection:
Research and develop advanced ML/AI algorithms for detecting classifying and prioritizing anomalies in real time across OCIs global network infrastructure ensuring rapid automated incident identification.
Demand Forecasting:
Build and optimize predictive models for short-term (minute-level) network demand forecasting to enable dynamic control-loop actions.
Develop long-term demand and capacity models to inform network expansion planning and business decisions.
Triangulation Correlation and Alerting:
Apply statistical and machine learning techniques to process high-volume telemetry correlate symptoms and root causes and enable the observability platform to triangulate problems down to specific devices links or regions.
Design methodologies and set scientific thresholds for detection alerting and automated signal prioritization (not architecture or coding of the underlying platform).
Observability Science:
Define requirements and scientific advancements for data collection frequency feature engineering dimensionality reduction and quality metricsguiding engineering teams in building world-class observability and analytics.
Collaboration & Influence:
Work closely with engineering network and product teams providing scientific guidance on feature design and system integration and ensuring ML/AI insights are actionable in real-world operations.
Knowledge Sharing:
Author high-quality documentation and present findings best practices and research outcomes to both technical and non-technical stakeholders. Mentor peers on advanced analytics and networking science.
Responsibilities Minimum Qualifications:
- PhD or Masters degree in Computer Science Electrical Engineering Applied Mathematics or related field focusing on machine learning statistics networking or distributed systems.
- 5 years of experience applying advanced ML statistical modeling or scientific analytics to real-world large-scale technical systems.
- Proven expertise in anomaly detection time-series forecasting and root-cause analysis particularly in networking or distributed environment domains.
- Proficiency in scientific computing and ML toolsets (e.g. Python R TensorFlow PyTorch Scikit-learn).
- Deep understanding of methods for processing and extracting insights from high-volume telemetry or sensor data.
Preferred Qualifications:
- Experience defining scientific strategies for observability or incident management in large-scale networks or distributed systems.
- Publications or patents in ML/AI applied to anomaly detection forecasting or similar areas.
- Collaboration history with engineering teams to translate models into production environments.
QualificationsDisclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements such as immunization and occupational health mandates.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $139400 to $291800 per annum. May be eligible for bonus equity and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge skills experience market conditions and locations as well as reflect Oracles differing products industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC5