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Principal Applied Scientist; GenAI

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Oracle
Full Time position
Listed on 2026-02-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 120100 - 251600 USD Yearly USD 120100.00 251600.00 YEAR
Job Description & How to Apply Below
Position: Principal Applied Scientist (GenAI)
Overview

Principal Applied Scientist (GenAI) – Oracle. We are seeking a visionary leader to spearhead image generation model research and development efforts. This role, the Code Assist generation model scientist lead, will drive the development and implementation of cutting-edge code generation and manipulation technologies. You will lead a team of scientists in exploring new frontiers of code generation for popular languages, simplifying documentation, unit testing, optimizing existing code, explaining code, and enabling natural language interfaces with database systems.

Responsibilities

Research and Development:
Conduct in-depth research on code generation techniques, including code-to-code (Java, SQL, Python, etc.), doc-to-code, code-to-doc, and other emerging approaches.

• Model Development:
Design, develop, and train state-of-the-art code generation models that meet high quality standards.

Team Leadership:
Build and mentor a high-performing team of scientists and engineers.



Collaboration:

Work with cross-functional teams to integrate code generation capabilities into applications and products.

• Innovation:
Identify new opportunities for image generation and explore emerging technologies.

• Stay Updated:
Maintain a deep understanding of industry trends and advancements in code generation.

Qualifications and Experience

• PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a focus on Machine Learning/Deep Learning (dissertation or final project), with 5+ years of relevant experience preferred; OR a Master’s or Bachelor’s with 8+ years of relevant experience.

• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.

• Extensive experience in image generation, computer vision, and deep learning.

Proven track record of leading research and development projects.

• Strong understanding of machine learning algorithms and architectures.

• Excellent problem-solving and analytical skills.

• Strong leadership and communication abilities.

If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply.

Compensation and Benefits

US:
Hiring Range in USD from: $120,100 - $251,600 per year. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s products, industries and lines of business. Candiates are typically placed into the range based on these factors and internal peer equity.

• Medical, dental, and vision insurance

• Short term and long term disability

• Life insurance and AD&D

• Health care and dependent care Flexible Spending Accounts

• 401(k) Savings and Investment Plan with company match

• Paid time off, holidays, and sick leave

• Employee Stock Purchase Plan

• Voluntary benefits including auto, homeowner, and pet insurance

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’re committed to growing an inclusive workforce that promotes opportunities for all and empowering employees to contribute.

Equal Opportunity

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 or protected veterans’ status, or any other characteristic protected by law. Oracle will consider qualified applicants with arrest and conviction records pursuant to applicable laws.

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