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Job Description

_At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world._

Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services leveraging state of art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world's most challenging problems.

You will be part of a team of smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact by designing and building innovative new systems to power our customer's business critical applications.

Responsibilities

As a senior software engineer in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area.

What we offer:

+ Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide.

+ High visibility to senior leadership, opportunity to make huge impacts across organizations.

+ Opportunity to build state-of-the-art technologies in large language models (LLM) and generative AI at scale to solve real business problems.

+ Close partnership with applied scientists and software engineers to deploy solutions into production in various business-critical scenarios.

About You:

+ You are an experienced machine learning engineer with a proven track record of delivering large-scale, high-performance model serving/training systems in production.

+ You are obsessed with customers and exceeding their expectations.

+ You have excellent communication skills and you can clearly explain complex technical concepts.

+ You are a disciplined engineer who understands the importance of high standards, never satisfied with mediocrity and constantly striving for excellence.

+ You are passionate about technology and self-motivated to stay updated with latest developments in machine learning related technologies.

Minimum Qualifications

+ BS in Computer Science, or equivalent experience.

+ 5+ years of experience shipping scalable, cloud-native distributed systems

+ Ability to work in a collaborative, cross-functional team environment.

+ Proficient in Python and shell scripting tools.

+ Experience with container orchestration technologies like Kubernetes.

+ Experience with production operations and best practices for putting quality code in production and troubleshoot issues when they arise.

+ Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations).

Preferred Qualifications

+ MS in Computer Science.

+ Production experience with cloud computing.

+ Experience with Large Language Model (LLM) serving technologies like DeepSpeed, FasterTransformer etc.

+ Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.

+ Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies

+ Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers).

+ Experience in diagnosing, troubleshooting and resolving issues in AI model training and serving

As a senior software engineer in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. You will diagnose, troubleshoot and resolve issues in AI model training and serving. You may also perform other duties as assigned.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $105,900 to $234,600 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 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 ca...

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