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Oracle
Oracle

Senior Principal Applied Scientist (OCI- GenAI Vision/Biometrics) at Oracle

RoleMachine Learning
LevelPrincipal
LocationUnited States
WorkOn-site
TypeFull-time
Posted1 week ago
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About the role

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.

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: $139,400 to $291,800 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.

  • Career Level
  • IC5

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, including 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

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

Required skills

Machine learning

Computer vision

Biometrics

Model development

Applied research

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