Principal Member of Technical Staff - ML

The 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 that meet the needs of our customers who are tackling some of the world’s biggest challenges.

The OCI Security team is focused on ensuring that our cloud infrastructure is the safest and most reliable environment for development we can provide to our customers. The OCI Security team keeps up with the constantly evolving and challenging cyber‑threat landscape, by developing novel solutions and products to prevent and mitigate cyber‑attacks on the OCI.

We are looking for top‑notch engineers who are passionate about security and cloud technologies to join the OCI Security Data Platform team. The ideal candidate is an innovative self‑starter who is looking to be an high‑level IC / tech lead role and drive the development and delivery of large scale services. You will be responsible for working with cross‑functional teams including machine learning scientists, researchers from Oracle Labs and engineers to develop, and run large scale cloud services that use advanced machine learned/statistical models to detect and remediate cyber‑threats in OCI.

• Design and develop full stack, cloud based, web services solutions with high degree of scalability, reliability and availability.
• Productizing machine learning model and workflows on the cloud infrastructure
• Extensive collaboration with research and engineering teams to deliver complex large scale projects
• Show initiative and enthusiasm in tackling challenging problems with innovative designs

• 8+ years of experience in software design, development and operation of large scale distributed systems
• Solid programming skills in Java or C#/C++, and experience with scripting languages such as Python
• Experience in designing, implementing, and managing high scalable/available/reliable distributed service/system
• Experience with relational and non‑relational (No
  
  SQL) databases
• Experience with Big Data tools/pipelines:
  Hadoop (Pig, Hive), Spark, or other Big Data systems
• Experience with data scalability issues and impact to trained ML model performance
• Experience in productizing Machine Learning (ML) workflows is a plus
• Effective communication skills and ability to work in a collaborative environment
• Advanced critical thinking and problem solving abilities
• BS or MS or PhD degree in Computer Science, or equivalent experience

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 only

US:
Hiring Range in USD from: $96,800 to $223,400 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.

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre‑tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• 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…