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 machine learning 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. As a machine learning 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.

3-5+ 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.

Familiarity with micro-services architecture

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

Experience with deploying AI models to production

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

Career Level - IC3

Responsibilities

As a Machine Learning Engineer in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training, finetuning 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 benchmark, diagnose, troubleshoot and resolve issues in AI model training, finetuning and serving. You may also perform other duties as assigned.

Disclaimer:

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: $79,000 to $178,100 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:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and ADD

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 not eligible for vacation.

11 paid holidays

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.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

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.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer