Principal Machine Learning Applications Engineer

$94,200 - $223,500/Yr

Oracle - Springfield, IL

Full-time - Principal

Springfield, IL

Publishing Industries

About the position

As a Principal Machine Learning Applications Engineer at Oracle, you will play a crucial role in building and deploying scalable, production-ready machine learning systems. This position requires proficiency in distributed systems, containerization, orchestration, and cloud-native architectures. You will collaborate with cross-functional teams, including data scientists and software engineers, to design, develop, and deploy machine learning models that address complex business challenges. Your expertise will be particularly valuable in the development of Conversational AI solutions and other advanced machine learning techniques, enhancing user experiences with AI, ML, and Generative AI capabilities. In this role, you will be responsible for creating detailed design specifications and writing elegant code. You will lead the incubation of new initiatives, architect scalable solutions, and make strategic technology choices to deliver AI/ML capabilities for Oracle's customers. Your work will involve developing high-quality, efficient software solutions that integrate generative AI capabilities, as well as designing, developing, testing, and deploying machine learning models, including large language models. You will also build pipelines for both batch and real-time use cases, leveraging third-party and in-house ML tools and the OCI platform to create reusable, high-performance machine learning systems with low-latency serving and reliable means to update and retrain models. Collaboration is key in this position; you will work closely with product managers, operations, and data scientists to identify opportunities for business impact, prioritize requirements for machine learning systems and data pipelines, and drive engineering decisions. You will communicate regularly with project teams to provide updates on development progress and ensure the quality of work through adherence to development standards and QA procedures. Additionally, you will focus on improving technical solutions and processes through iterative discovery and feedback loops, while also attracting, growing, and developing a team of builders and creators.

Responsibilities

• Create detailed design specifications and write elegant code.
• Lead the incubation of new initiatives and architect scalable solutions.
• Drive strategic technology choices to develop and deliver AI/ML capabilities for customers.
• Develop high-quality, scalable, and efficient software solutions integrating generative AI capabilities.
• Design, develop, test, and deploy machine learning models, including large-language models.
• Build pipelines at scale for batch and real-time use cases.
• Leverage third-party and in-house ML tools & OCI platform to develop reusable, high-performance machine learning systems.
• Collaborate with cross-functional partners to identify opportunities for business impact and prioritize requirements.
• Communicate progress on development efforts to project teams.
• Ensure quality of work through development standards and QA procedures.
• Improve technical solutions and processes through iteration and feedback loops.
• Attract, grow, and develop the engineering team.

Requirements

• Proficiency in building distributed systems, containerization, orchestration, and cloud-native architectures.
• Strong understanding and experience with Large Language Models and Generative AI.
• Experience in designing, developing, and deploying machine learning models into production systems.
• Ability to collaborate with cross-functional teams including data scientists and software engineers.
• Technical expertise in machine learning and AI, with a good product sense and business understanding.

Nice-to-haves

• Experience with Conversational AI solutions.
• Familiarity with third-party ML tools and OCI platform.
• Strong communication skills for project updates and team collaboration.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion.
• Short term disability and long term disability.
• Life insurance and AD&D.
• 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.
• Flexible vacation and paid time off policies.
• 11 paid holidays.
• Paid sick leave with carryover options.
• Paid parental leave.
• Adoption assistance.
• Employee Stock Purchase Plan.
• Financial planning and group legal services.
• Voluntary benefits including auto, homeowner, and pet insurance.