Senior Principal Applied Scientist; OCI- GenAI Vision/Biometrics
Listed on 2026-09-29
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, Computer Science
Senior Principal Applied Scientist (OCI
- GenAI Vision/Biometrics)
United States
Trending
- Job Identification 333597
- Job Category Product Development
- Posting Date 05/13/2026, 04:39 PM
- Job Type Regular Employee
- Does this position require a security clearance? No
- Years 6 to 10+ years
- Applicants Less than 10 applicants
- Applicants are required to read, write, and speak the following languages English
The computer vision team is responsible for growing our capabilities in image analysis and recognition. Our goal is to enable customers to apply computer vision to solve their particular business problems with our assistance and expertise. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality computer vision models and services that delights our customers with the confidence that their data are safe and protected.
Your Opportunity We are seeking a visionary scientist to spearhead computer vision initiatives and lead the technical direction of the team. You will be responsible for driving the development and implementation of cutting-edge computer vision technologies, and working with a team of world-class scientists to explore new frontiers of computer vision to enable real-world solutions.
Team Leadership:
Lead and mentor a high‑performing team of scientists.
Collaboration:
Work closely with cross‑functional teams to integrate computer vision capabilities into various applications and products.
Innovation:
Identify new opportunities for computer vision emerging technologies.
Technical Leadership:
Provide technical direction and guidance to the team, and drive the development of the computer vision roadmap.
Qualifications and
Experience:
PhD Computer Science, Electrical Engineering, or a related field with a dissertation, thesis or final project centered in Computer Vision and Machine Learning) with 8+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 10+ years relevant experience
Strong publication record, inclusive as a lead author or reviewer, in top‑tier journals or conferences.
Extensive experience in computer vision, deep learning, and image processing
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
Disclaimer:
Certain U.S. based or U.S. customer or client‑facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US:
Hiring Range in USD from: $169,800 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral.
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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).