Job DescriptionThe Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products with integration of the latest AI technologies.
The OCI Security Products team is focused on ensuring that our cloud infrastructure is the safest and most reliable environment for development we can provide to our customers. We keep up with the constantly evolving and challenging cyber-threat landscape, by developing novel ML/AI-based solutions and products to prevent and mitigate cyber-attacks on OCI.
We are looking for top notch applied scientists who are passionate about security and cloud technologies to join the OCI Security Analytics & Machine Learning team. The ideal candidate is a self-starter who is looking to drive innovation by developing AI/ML solution in the security domain area, leveraging Petabytes of data of our Security Data Platform. You will be responsible for working with cross functional teams including core OCI Security, Security Operations, OCI AI team, and Product Management. You will be working on expanding our platform to include an AI LLM agentic framework able to support next generation functionality for data analysis and retrieval, advanced security detections, and alert triaging.
Responsibilities - Show initiative and enthusiasm in tackling challenging problems with innovative AI solutions
- Work closely with security experts to build behavioral models for the latest cybersecurity threats
- Develop ML models and AI LLM workflows applicable to large datasets of a hyper-scaler
- Work closely with software engineers to drive real-time inference and alerting solutions
Qualifications - 3+ years of experience in developing AI/ML solutions for production services
- Experience in transforming an ML idea from a successful prototype to full scale cloud solution
- Expert knowledge in all foundational supervised and unsupervised machine learning methods
- Design, experiment and evaluate highly innovative models for anomaly detection
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Practical knowledge of applying AI LLM agentic frameworks in production
- Used TensorFlow, PyTorch, or equivalent ML toolkit
- Solid programming skills in Java or C#/C++, and experience with scripting languages such as Python
- Experience with R and/or other statistical packages
- Experience with Big Data tools/pipelines: Hadoop (Pig, Hive), Spark, or other Big Data systems
- Strong publication record is a plus
- BS or MS or PhD degree in Computer Science, or equivalent experience
ResponsibilitiesInteracts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
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: $91,100 to $199,500 per annum. May be eligible for bonus and equity.
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 Oracle's 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 - IC3
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