[Remote] Machine Learning Engineer

Oracle•United States,

2d•$68,500 - $158,200•Remote

About The Position

Oracle is seeking a Machine Learning Engineer to build distributed systems, containerized applications, orchestration, and cloud-native architectures for scalable, reliable, production-ready machine learning systems. The role focuses on Generative AI and Large Language Models, including development of Conversational AI solutions and other machine learning capabilities that improve user experiences. The engineer will work across the stack and collaborate with product managers, software engineers, operations teams, and data scientists to translate business needs into scalable technical solutions. The position involves incubating initiatives, selecting technologies, developing and deploying machine learning models and pipelines, and building reusable systems on Oracle Cloud Infrastructure (OCI). The successful candidate will combine technical depth in ML and AI with product sense and business understanding, and will iteratively improve solutions through discovery, feedback, and quality-focused engineering practices.

Requirements

Proficiency in building distributed systems, containerization, orchestration, and cloud-native architectures.
Strong understanding of and experience leveraging Large Language Models.
Familiarity with Python and machine learning frameworks such as PyTorch and TensorFlow.
Ability to lead across the full stack and apply product sense and business understanding to technology choices.
Experience or capability in developing and delivering scalable, production-ready ML systems.

Responsibilities

Create detailed design specifications and write elegant code.
Lead incubation of new initiatives, architect scalable solutions, and make strategic technology choices to develop and deliver AI/ML capabilities.
Develop high-quality, scalable, and efficient software solutions that integrate generative AI capabilities.
Design, develop, test, and deploy machine learning models, including large language models, and build pipelines at scale for batch and real-time use cases.
Use third-party and in-house ML tools and the OCI platform to develop reusable, high-performance machine learning systems with low-latency serving and reliable model updating and retraining.
Collaborate with product managers, operations, and data scientists to identify business-impact opportunities, understand and prioritize requirements for ML systems and data pipelines, make engineering decisions, and quantify impact.
Communicate regularly with project teams and explain development progress.
Ensure work quality through development standards and QA procedures.
Improve technical solutions and processes through discovery, iteration, and feedback.

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short-term and long-term disability
Life insurance and AD&D
Supplemental life insurance for employees, spouses, and children
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, including flexible or accrued vacation depending on employee eligibility and position
11 paid holidays
Paid sick leave
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal benefits
Voluntary auto, homeowner, and pet insurance
The role may be eligible for a bonus and equity