Principal Machine Learning Applications Engineer

This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.

As a Senior 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 Senior ML Engineer, you must have a strong understanding and experience in leveraging the capabilities of Large Language Models.

In this role, you will design, develop, and deploy machine learning models into production systems to solve complex business problems. You will work closely with data scientists, software engineers, and cross-functional teams to build and deploy scalable, production-ready machine learning solutions.

Your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to 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 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.

Career Level - IC4

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: from $94,200 to $223,500 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.

Oracle US offers a comprehensive benefits package which includes:

• 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
• 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.
• 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.

Responsibilities:

• Proficient in creating detailed design specifications and writing elegant code.
• Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver AI/ML capabilities for our customers.
• 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.
• Leverage third-party and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems with low-latency serving and reliable means to update/re-train ML models.
• Work collaboratively with cross-functional partners including product managers, operations, and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.
• Communicate continually with the project teams, and explain progress on the development effort.
• Ensures quality of work through development standards and QA procedures.
• Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops.
• Attracts, grows, and develops the engineering team with builders and creators.

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.

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.