Apply for Oracle’s GenAI PhD Applied Scientist role – Build LLMs, earn up to $199K, work on cutting-edge AI, and enjoy top-tier benefits in 2025.
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💼 Job Role & Category
Role: GenAI PhD Applied Scientist
Category: Full-Time, Regular Employee (Individual Contributor)
Level: IC3 (Career Level 3)
Locations: Seattle, WA | Santa Clara, CA | Redwood City, CA (United States)
🏢 Why Join Oracle Cloud Infrastructure?
Oracle is the world’s leading provider of business software, with a presence in over 175 countries. As one of the biggest technology companies on the planet, Oracle uses tomorrow’s technology to tackle today’s challenges. From advancing energy efficiency to reimagining online commerce, Oracle’s work transforms the world of business, helps advance governments, powers nonprofits, and gives billions of people the tools they need to outpace change.
Oracle Cloud Infrastructure (OCI) operates with the speed and attitude of a start-up while maintaining the scale and customer-focus of the leading enterprise software company in the world. The OCI business is growing at an incredible 52% annually, driven by Oracle’s strong legacy in helping organizations worldwide tackle their most complex challenges. With over 40 years of operating with integrity, Oracle continues to thrive by empowering innovation and promoting an inclusive workforce that creates opportunities for all.
📝 Job Summary
This position is designed for PhD graduates completing their doctorate by December 2025 or those who have graduated within 12 months of the start date. As an Applied Scientist in the Oracle Generative AI Service team, you will build and operate massive-scale cloud services leveraging state-of-the-art machine learning technologies. You’ll play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models, delivering cutting-edge AI-powered services for large-scale enterprise customers.
🔧 Key Responsibilities 🔧
✅ Collaborate with product managers to translate business and product requirements into AI projects
✅ Partner with technical leaders to ensure successful and timely delivery of models and integration of services
✅ Coordinate with global teams to drive projects from in-depth research to producing production-ready code
✅ Develop new OCI services and features leveraging recent advances in generative AI, machine learning, and deep learning
✅ Design and review architectures of generative AI systems, including data, model, training, and evaluation, employing best practices
✅ Lead and mentor both junior and senior machine learning engineers
✅ Develop production code and advocate for the best coding and engineering practices
✅ Participate in project planning, review, and retrospective sessions
✅ Identify and mitigate risks in plans and executions, especially at the intersection of business and engineering
✅ Work with cross-functional teams to integrate evaluation capabilities, identify new opportunities, and explore emerging technologies
✅ Advance state-of-the-art in areas such as: Generative AI Applications, Agentic Platforms, Reasoning and Planning, Retrieval Augmented Generation, Generative AI Evaluation, Responsible AI, Models’ Verticalization, NL2Code, NL2SQL, Multimodal GenAI, and Speech
✅ Who Can Apply?
🎓 Education Requirements
- PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field with a dissertation, thesis, or final project centered in Machine Learning and Deep Learning
- Must graduate by December 2025 or have graduated within 12 months of start date
- Minimum 3.0 GPA (Preferred)
💼 Experience Level
- Intended for early-career talent (PhD graduates)
- Proven experience in designing data collection/annotation solutions and systematic evaluation for production systems
- Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences
💡 Required Skills & Technologies
✔️ Programming: Strong Python skills
✔️ Deep Learning Frameworks: TensorFlow or PyTorch
✔️ ML/DL Understanding: Deep technical knowledge of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers
✔️ LLM & Generative AI: Practical experience with parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts
✔️ LLM Frameworks: Hands-on experience with LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
✔️ NLP/Computer Vision: Background in Natural Language Processing and/or Computer Vision
✔️ Speech Technologies: Hands-on experience in one or more areas: ASR, TTS, S2S translation, conversational AI, or related NLP topics
✔️ Problem-Solving: Proven analytical and problem-solving abilities in AI/ML or speech/language processing domains
✔️ Commitment: Staying up to date with the field and applying academic advances to solve complex business problems
🌟 Preferred Qualifications
- Knowledge of LLM and experience delivering Generative AI and Agent models
- Familiarity with the latest advancements in computer vision and multimodal modeling
- Strong understanding of machine learning algorithms and architectures
- Open-source contributions to the AI/ML community
📜 Work Authorization
- Must reside in the United States and/or attend a university in the US
- Able to obtain work authorization in the US in 2025
🌍 Work Location & Type
📍 Location:
- Seattle, WA, United States
- Santa Clara, CA, United States
- Redwood City, CA, United States
💻 Work Type: Not specified in job description (likely onsite or hybrid based on office locations)
💰 Salary Insights
💵 Official Hiring Range (United States):
$97,500 to $199,500 per annum
- Performance-Based Pay: May be eligible for bonus and equity
- Salary Variation: Oracle maintains broad salary ranges to account for variations in knowledge, skills, experience, market conditions, and locations
- Placement: Candidates are typically placed into the range based on preceding factors and internal peer equity
- Experience-Based: Higher compensation for candidates with stronger publication records, open-source contributions, and expertise in LLMs/Generative AI
This is an exceptional salary range for PhD graduates entering the AI/ML field, positioning this role among the top-paying opportunities for early-career researchers in 2025.
🎁 Perks & Benefits
Oracle US offers a comprehensive benefits package, including:
🏥 Health & Wellness
✅ Medical, dental, and vision insurance, including expert medical opinion
✅ Short-term and long-term disability coverage
✅ Life insurance and AD&D
✅ Supplemental life insurance (Employee/Spouse/Child)
💰 Financial Benefits
✅ 401(k) Savings and Investment Plan with company match
✅ Employee Stock Purchase Plan
✅ Financial planning and group legal services
✅ Bonus and equity eligibility
🏖️ Time Off & Leave
✅ Flexible Vacation for salaried positions (or accrued vacation: 13 days annually for first 3 years, 18 days for subsequent years)
✅ 11 paid holidays
✅ 72 hours of paid sick leave upon hire (refreshes annually, up to 112 hours cap)
✅ Paid parental leave
🚗 Additional Perks
✅ Health care and dependent care Flexible Spending Accounts
✅ Pre-tax commuter and parking benefits
✅ Adoption assistance
✅ Voluntary benefits including auto, homeowner, and pet insurance
✅ Employee volunteer programs
🎓 Career Development
✅ Early Career Program designed to enhance learning, build your network, and accelerate your opportunity to make an impact
✅ Mentorship from technical leaders
✅ Work on cutting-edge technologies with global teams
📝 How to Apply
📢 How to Apply for Oracle GenAI PhD Applied Scientist Recruitment 2025:
1️⃣ Click on the “Apply” button (link below or on Oracle’s careers page)
2️⃣ Register/Login to the Oracle careers portal
3️⃣ Fill in required details (personal information, education, experience)
4️⃣ Upload resume/documents (CV, transcripts, publications list if applicable)
5️⃣ Review details carefully before submission
6️⃣ Submit the form
📢 Share this opportunity with friends! 😇
🗓️ Note: The role will generally accept applications for at least three calendar days from the posting date (10/22/2025) or as long as the job remains posted.
❓ Frequently Asked Questions (FAQs)
1. What is the selection process for Oracle GenAI Applied Scientist roles?
The typical selection process includes:
- Resume screening (focus on PhD research, publications, and relevant AI/ML experience)
- Technical interviews (coding, ML algorithms, LLM expertise)
- Research presentation or discussion of dissertation work
- Behavioral interviews with team leads and product managers
- Final interviews may include system design or case studies
2. Is this role open to fresh PhD graduates?
Yes! This position is specifically designed for students graduating with their Doctorate degree by December 2025, or those who have graduated within 12 months of the start date.
3. What skills are most important for this role?
Key skills include:
- Strong Python programming and deep learning frameworks (TensorFlow/PyTorch)
- Deep understanding of LLMs, Transformers, and generative AI
- Hands-on experience with LLM frameworks (LangChain, LlamaIndex, etc.)
- Publication record in top-tier AI/ML conferences
- Experience with NLP, Computer Vision, or Speech technologies
4. Does Oracle offer relocation assistance?
While not explicitly mentioned in the job description, Oracle typically offers relocation assistance for roles requiring candidates to move to specific office locations (Seattle, Santa Clara, or Redwood City). Confirm during the interview process.
5. What is the work culture like at Oracle Cloud Infrastructure?
Oracle Cloud Infrastructure operates with the speed and attitude of a start-up while maintaining the scale and resources of a leading enterprise software company. The team is committed to innovation, collaboration across global teams, and staying at the cutting edge of AI research and development. Oracle emphasizes an inclusive workforce and work-life balance.
6. Are international students eligible to apply?
Candidates must be able to obtain work authorization in the US in 2025. International students on F-1 visas may apply if they can obtain OPT/CPT or H-1B sponsorship. Oracle does not require a security clearance for this position.
7. What is the career growth potential in this role?
As an Individual Contributor (IC3), you’ll have opportunities to:
- Lead cutting-edge AI research and development
- Mentor junior and senior engineers
- Shape the future of generative AI at one of the world’s largest tech companies
- Publish research and contribute to the AI/ML community
- Advance to senior scientist or technical leadership roles