Principal Member of Technical Staff

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.
6-10+ years of experience in building scalable machine learning systems or in relevant MS/PhD research
Proficient in Python, PyTorch, and shell programming.
Hands-on experience in LLM serving and fine-tuning.
Experience with container orchestration technologies such as docker and Kubernetes.
Experience with production operations and best practices for deploying quality code for deep learning models
Ability to work in a collaborative, cross-functional team environment.

Preferred Qualifications:

MS in Computer Science
Extensive experience with open-source software for LLM serving, such as vLLM, SGLang, or TensorRT-LLM.
Deep expertise in advanced optimization techniques, including quantization, speculative decoding, etc.
Experience with large-model training using Accelerate, DeepSpeed, or Megatron-LLM.
Proficiency with microservices architecture, containerization and orchestration technologies.
Proven experience deploying large AI models to production.
Strong communication skills, with the ability to effectively convey technical ideas both verbally and in writing
 

Career Level - IC4

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