What are the responsibilities and job description for the Principal Applied Scientist (OCI/GEN AI) position at Oracle?
The Oracle Cloud Infrastructure (OCI) Generative AI team is responsible for growing OCI’s Generative AI and Agent services. Our goal is to enable customers to apply AI to solve their particular business problems with Oracle��s assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai models and services that delights our customers with the confidence that their data are safe and protected.
Your Opportunity
We are seeking a visionary leader to spearhead image generation model research and development efforts. As the video generation model scientist lead, you will be responsible for driving the development and implementation of cutting-edge video generation and manipulation technologies. You will lead a team of world-class scientists in exploring new frontiers of video synthesis, style transfer, and video editing.
Career Level - IC4
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: $120,100 to $251,600 per annum. 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:
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:
- Research and Development: Conduct in-depth research on image generation techniques, including generative adversarial networks (GANs), diffusion models, and other emerging approaches.
- Model Development: Design, develop, and train state-of-the-art image generation models that meet the highest quality standards.
- Team Leadership: Build and mentor a high-performing team of scientists and engineers.
- Collaboration: Work closely with cross-functional teams to integrate video generation capabilities into various 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 video generation.
Qualifications and Experience:
- PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 8 years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 12 years 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
Education - PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5 years relevant experience is preferred but not a must; OR
- Masters or Bachelor’s in related field with 5 years relevant experience
If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply.
Salary : $120,100 - $251,600