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Oracle is Hiring a Principal Machine Learning Applications Engineer Near Redwood, CA

Qualifications:

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.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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:

Responsibilities

1. Write elegant and performant code in Java.
2. Create detailed technical designs specifications, present it to the team and write code as per the design.
3. Perform thorough peer code reviews.
4. Design and build scalable solutions for distributed systems using microservices.
5. Develop proof of concepts in Java as well as python for AI and GenAI solutions. 
6. Design and build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. in GenAI space. 
7. Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver AI/ML capabilities in a micoservcies architecture for our customers.
8. 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.
9. Design, test, and deploy Machine learning models, including large-language models and build pipelines at scale for batch and real-time use cases.
10. Work collaboratively with cross-functional partners including product managers, operations team, and data scientists.
11. Communicate continually with the project teams and explain progress on the development effort.
12. Ensures quality of work through development standards and QA procedures.
13. Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops.
14. Identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.
15. Attracts, grows, and develops the engineering team with builders and creators.

Qualifications

1. BS/MS in Computer Science or related fields
2. Proficient in Java and object-oriented concepts.
3. Comfortable in writing code in python.
4. Should be able to contribute to the design reviews and have opinion about design decisions.
5. Good working knowledge of Microservices Architecture, Application Architecture, and Technology Architecture. 
6. Hands-on experience in building and operating highly available and large-scale services 
7. Experience in building GenAI solutions using RAG framework and building LLM Agentic applications is preferred. 
8. Experience in building, testing and deploying machine learning models, including large language models.
9. Experience with containers and cloud native components
10. Experience with scripting languages for developing automations
11. Experience in developing resilient and fault tolerant systems

5 years software engineering experience in a distributed cloud environment and 3 years of experience in building machine learning solutions

Job Summary