Senior Principal Applied Scientist

Oracle; United States; On-site; USD 139,000 - 292,000; Full time

Job summary

Join a leading technology firm as a Senior Principal Applied Scientist specializing in Generative AI and LLMs. In this role, you will innovate and drive advancements in AI, developing state-of-the-art models and collaborating with top talent in a fast-paced environment. This position offers an impactful opportunity to influence enterprise-grade AI solutions, backed by comprehensive benefits and competitive compensation.

Benefits

Medical, dental, and vision insurance

401(k) Savings and Investment Plan

Flexible Vacation

Paid parental leave

Qualifications

• 5+ years of experience building and evaluating deep learning models.
• Strong publication record in AI/ML conferences.
• Expertise in LLM fine-tuning and code generation.

Responsibilities

• Lead development and evaluation of cutting-edge LLMs.
• Design evaluation strategies for generative models.
• Collaborate with cross-functional teams to ensure model safety and effectiveness.

Skills

Natural Language Processing

AI

Deep Learning

Software Engineering

Education

PhD in Computer Science, Machine Learning, AI or related field

Tools

Python

PyTorch

TensorFlow

Job description

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Job Description

The

Job Description

The OCI Generative AI team is responsible for building and scaling Oracle's Generative AI and Agent services. Our mission is to empower customers to apply cutting-edge AI to their unique business challenges—leveraging Oracle’s infrastructure, enterprise reach, and deep expertise in AI. We focus on delivering high-performing, secure, and enterprise-grade generative AI models and services, including state-of-the-art solutions for code generation (e.g., NL2Code), content generation, and AI agents.

Role Overview:

We are looking for a Senior Applied Data Scientist (IC5) with deep expertise in LLMs and Generative AI to join our growing team. In this role, you will drive innovation at the intersection of AI and software development, with a focus on natural language to code (NL2Code), LLM fine-tuning, and evaluation frameworks. You’ll collaborate with top scientists and engineers to build and deploy models that are not only powerful but safe, secure, and reliable for enterprise use.

Key Responsibilities:

• Lead development and evaluation of cutting-edge LLMs for NL2Code and related tasks (e.g., code synthesis, debugging, translation, and doc generation).
• Design and execute robust experimentation pipelines, benchmarking frameworks, and adversarial testing for model quality and safety.
• Collaborate with research and engineering to define and drive scientific direction in areas like instruction tuning, reinforcement learning, retrieval-augmented generation (RAG), and guardrails.
• Publish impactful research at top-tier conferences (e.g., NeurIPS, ACL, ICML, ICLR) and contribute to open science where applicable.
• Translate business problems into AI solutions while ensuring safety, fairness, and compliance.
• Serve as a technical thought leader, mentor junior scientists, and engage cross-functionally with product and engineering teams.
  
  
  

Required Qualifications:

• PhD in Computer Science, Machine Learning, AI, or a related field.
• Strong publication record in top AI/ML conferences or journals.
• 5+ years of hands-on experience building and evaluating deep learning models, particularly transformer-based LLMs.
• Expertise in natural language processing, code generation (NL2Code), and multi-turn interaction modeling.
• Deep understanding of model evaluation, including human-in-the-loop methods and automated metrics.
• Strong software engineering skills—proficient in Python, PyTorch, or TensorFlow; comfortable working with large-scale distributed training systems.
• Experience working with prompt engineering, alignment techniques (e.g., RLHF), and safety/guardrail systems is a plus.
• Ability to work in a fast-paced, collaborative environment and drive projects from ideation to deployment.
  
  
  

Why Join Us?

• Work on cutting-edge generative AI technologies with real-world enterprise impact.
• Collaborate with world-class talent in a dynamic, high-growth environment.
• Enjoy the resources and scale of Oracle while pushing the boundaries of what GenAI can achieve.
  
  
  

Responsibilities

Advance State-of-the-Art NL2Code Capabilities:

Lead the research, development, and deployment of advanced LLM-based models for natural language to code (NL2Code) tasks, including code synthesis, auto-completion, code translation, and generation of documentation from code or natural language. Drive innovation in how developers interact with AI to enhance productivity and reliability in software engineering.

Design Evaluation Frameworks for LLMs:

Architect rigorous evaluation strategies for generative models, including human-in-the-loop evaluations, adversarial testing, hallucination detection, and task-specific metrics. Develop automated pipelines and benchmarks that ensure consistent and transparent measurement of model performance, quality, and safety.

Model Development and Fine-Tuning:

Lead fine-tuning of large-scale language models using supervised, instruction-tuning, and reinforcement learning approaches. Experiment with cutting-edge training techniques such as PEFT, LoRA, RAG, and retrieval-augmented coding.

Cross-Functional Technical Leadership:

Collaborate with engineers, PMs, designers, and legal/compliance teams to ensure models are not only effective but also safe, secure, and enterprise-ready. Translate high-level business use cases into technically sound model development roadmaps.

Publish and Represent Oracle in the Research Community:

Contribute to internal and external visibility of the team’s innovations through publications, presentations, and conference participation (e.g., ACL, NeurIPS, EMNLP). Help build Oracle’s reputation in applied AI research and attract top-tier talent.

Mentorship and Technical Guidance:

Mentor junior and mid-level scientists and engineers. Offer scientific and technical direction on experimentation, design choices, and model architecture. Foster a culture of curiosity, rigor, and engineering excellence.

Scalable System Thinking:

Design models and pipelines with deployment and production-readiness in mind—balancing model accuracy, latency, cost, and interpretability. Contribute to system design reviews and optimize for large-scale OCI infrastructure.

Stay Ahead of Emerging Trends:

Continuously monitor the GenAI landscape for innovations in foundation models, prompting strategies, code intelligence, and evaluation practices. Apply emerging research to maintain Oracle’s competitive edge in enterprise AI solutions.

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 in USD from: $139,400 - $291,800 per year. May be eligible for bonus, equity, and compensation deferral.

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:

• 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. 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.
• 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.

Career Level - IC5

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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 emailing [e-mail] or by calling [phone] in the United States.

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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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