[Remote] Machine Learning Engineer

Oracle•United States,

6d•$68,500 - $158,200•Remote

About The Position

As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures. You will collaborate with cross-functional teams to build scalable, reliable, and production-ready ML systems. Oracle is investing heavily in Generative AI, and as a ML Engineer, you must have a strong understanding and experience in leveraging the capabilities of Large Language Models. Your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to shape up and enhance users' experience with AI/ML/GenAI capabilities. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions. The ideal candidate is highly technical, particularly around ML and AI, but can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative. Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. With AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Requirements

Proficiency in building distributed systems, containerization, orchestration, and cloud-native architectures.
Strong understanding and experience in leveraging the capabilities of Large Language Models.
Highly technical, particularly around ML and AI.
Ability to lead across the full stack.
Good product sense and business understanding.

Responsibilities

Build scalable, reliable, and production-ready ML systems.
Develop Conversational AI solutions and other cutting-edge Machine learning techniques.
Enhance users' experience with AI/ML/GenAI capabilities.
Partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify business requirements into scalable solutions.